Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Ubiquity Press, Ltd.  

Background: Identifying patient activity during symptom onset is crucial in conditions such as chronic obstructive pulmonary disease (COPD) or arrhythmia. Accelerometer data can aid in this process; however, minimal data requirements are preferable. This study aimed to determine the minimum number of axes required to accurately recognize activities related to COPD or arrhythmia.Methods: Thirty healthy participants wore a 9-axis accelerometer in five positions and performed nine activities. Machine learning-based activity recognition was conducted using 9-, 6-, and 3-axis data from the nondominant wrist or chest, as these two positions demonstrated high recognition accuracy in our previous study.Results: For the nondominant wrist, the accuracy of recognizing activities such as lying in the supine position, standing, eating, and running was comparable for the 3-axis acceleration and 9-axis data. For the chest, the accuracy of recognizing activities such as lying in the supine position, standing, sitting, using the restroom, and ascending or descending stairs was comparable for 6-axis (combined acceleration and magnetometer) and 9-axis data.Conclusions: The findings suggest that 3-axis acceleration data for the nondominant wrist and 6-axis combined acceleration and magnetometer data for the chest lead to high activity recognition accuracy.

DOI： 10.5334/paah.441

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

Purpose: To establish a simple and noninvasive screening test for sleep apnea (SA) that imposes less burden on potential patients. The specific objective of this study was to verify the effectiveness of past and future single-lead electrocardiogram (ECG) data from SA occurrence sites in improving the estimation accuracy of SA and sleep apnea syndrome (SAS) using machine learning.
Methods: The Apnea-ECG dataset comprising 70 ECG recordings was used to construct various machine-learning models. The time window size was adjusted based on the accuracy of SA detection, and the performance of SA detection and SAS diagnosis (apnea‒hypopnea index ≥ 5 was considered SAS) was compared.
Results: Using ECG data from a few minutes before and after the occurrence of SAs improved the estimation accuracy of SA and SAS in all machine learning models. The optimal range of the time window and achieved accuracy for SAS varied by model; however, the sensitivity ranged from 95.7 to 100%, and the specificity ranged from 91.7 to 100%.
Conclusions: ECG data from a few minutes before and after SA occurrence were effective in SA detection and SAS diagnosis, confirming that SA is a continuous phenomenon and that SA affects heart function over a few minutes before and after SA occurrence. Screening tests for SAS, using data obtained from single-lead ECGs with appropriate past and future time windows, should be performed with clinical-level accuracy.

DOI： 10.1007/s11325-025-03316-0

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Other Link： https://link.springer.com/article/10.1007/s11325-025-03316-0/fulltext.html

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

Peripheral blood mononuclear cells (PBMCs) are cells obtained from the blood that are used not only in clinical tests but also in various research applications. The slow-freezing method, currently the standard for PBMC cryopreservation, involves extended storage at -80 °C before transfer to liquid nitrogen. Delays in this transfer, such as overnight or weekend holds, risk a gradual decline in cell viability. Additionally, variability in freezing duration can lead to inconsistent cell quality, emphasizing the need for an alternative freezing method that allows for more timely transfer to liquid nitrogen. This study aimed to clarify whether the method of using a freezer with an applied electromagnetic field (EMF) is superior to the currently used standard slow-freezing (SLF) method for PBMC cryopreservation. A comparison of the number of viable cells, cell viability, and cell activity showed that the EMF method was equivalent to the SLF method. However, the shortest time required for freezing was significantly shorter with the EMF method than the SLF method (0.25 h vs. 3 h), allowing for earlier transfer of PBMC to liquid nitrogen. This demonstrates that the EMF method offers an advantage in operational efficiency, particularly for facilities that routinely process and store PBMCs, such as biobanks and other storage-focused departments.

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Ubiquity Press  

DOI： 10.5334/paah.313

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Ubiquity Press, Ltd.  

DOI： 10.5334/paah.224

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.14326/abe.11.151

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Language：English   Publishing type：Research paper (scientific journal)  

Sudden cardiac accident (SCA) during a marathon is a concern due to the popularity of the sport. Preventive strategies, such as cardiac screening and deployment of automated external defibrillators have controversial cost-effectiveness. We investigated the feasibility of use of a new electrocardiography (ECG) sensor-embedded fabric wear (SFW) during a marathon as a novel preventive strategy against SCA. Twenty healthy volunteers participated in a full marathon race. They were equipped with a SFW hitoe® with a transmitter connected via Bluetooth to a standard smartphone for continuous ECG recording. All data were stored in a smartphone and used to analyze the data acquisition rate. The adequate data acquisition rate was > 90% in 13, 30-90% in 3, and < 10% in 4 runners. All of 4 runners with poorly recorded data were female. Inadequate data acquisition was significantly associated with the early phase of the race compared with the mid phase (P = 0.007). Except for 3 runners with poor heart rate data, automated software calculation was significantly associated with manual analysis for both the mean (P < 0.001) and maximum (P = 0.014) heart rate. We tested the feasibility of continuously recording cardiac data during a marathon using a new ECG sensor-embedded wearable device. Although data from 65% of runners were adequately recorded, female runners and the early phase of the race tended to have poor data acquisition. Further improvements in device ergonomics and software are necessary to improve ability to detect abnormal ECGs that may precede SCA.

DOI： 10.1007/s00380-021-01939-3

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

DOI： 10.1111/cas.15309

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Language：English   Publishing type：Research paper (scientific journal)  

Recently, research has been conducted to automatically control anesthesia using machine learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we address the problem of predicting decisions made by anesthesiologists during surgery using machine learning; specifically, we formulate a decision making problem by increasing the flow rate at each time point in the continuous administration of analgesic remifentanil as a supervised binary classification problem. The experiments were conducted to evaluate the prediction performance using six machine learning models: logistic regression, support vector machine, random forest, LightGBM, artificial neural network, and long short-term memory (LSTM), using 210 case data collected during actual surgeries. The results demonstrated that when predicting the future increase in flow rate of remifentanil after 1 min, the model using LSTM was able to predict with scores of 0.659 for sensitivity, 0.732 for specificity, and 0.753 for ROC-AUC; this demonstrates the potential to predict the decisions made by anesthesiologists using machine learning. Furthermore, we examined the importance and contribution of the features of each model using Shapley additive explanations-a method for interpreting predictions made by machine learning models. The trends indicated by the results were partially consistent with known clinical findings.

DOI： 10.1038/s41598-021-03112-2

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

DOI： 10.1016/j.xgen.2021.100028

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Korean Society of Medical Informatics  

DOI： 10.4258/hir.2021.27.3.231

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Other Link： https://www.webofscience.com/wos/woscc/full-record/WOS:000684600200008

Authorship：Lead author,　Last author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

When a global pandemic of infectious diseases occurs, demand for medical supplies such as masks, disinfectants, and personal protective equipment will exceed the production capacity in normal times, consequently leading to serious shortages. Stockpiling is necessary to prepare for such situations. However, because pandemics are infrequent and might occur at any time, stockpile freshness is an important concern. As described in this paper, a “rolling stockpile” of medical supplies is proposed to prevent the medical supply stockpile from becoming too old. A formulation of a model and simulations based on it is presented. Results demonstrate that the method is applicable to the design of warehouses for rolling stockpiles, monitoring stockpile depletion during emergencies, and monitoring the process of recovery from emergencies.

DOI： 10.18926/interdisciplinary/61886

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Authorship：Last author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

DOI： 10.18926/interdisciplinary/61889

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Language：English   Publishing type：Research paper (scientific journal)  

BACKGROUND: Recently, more electronic data sources are becoming available in the healthcare domain. Electronic health records (EHRs), with their vast amounts of potentially available data, can greatly improve healthcare. Although EHR de-identification is necessary to protect personal information, automatic de-identification of Japanese language EHRs has not been studied sufficiently. This study was conducted to raise de-identification performance for Japanese EHRs through classic machine learning, deep learning, and rule-based methods, depending on the dataset. RESULTS: Using three datasets, we implemented de-identification systems for Japanese EHRs and compared the de-identification performances found for rule-based, Conditional Random Fields (CRF), and Long-Short Term Memory (LSTM)-based methods. Gold standard tags for de-identification are annotated manually for age, hospital, person, sex, and time. We used different combinations of our datasets to train and evaluate our three methods. Our best F1-scores were 84.23, 68.19, and 81.67 points, respectively, for evaluations of the MedNLP dataset, a dummy EHR dataset that was virtually written by a medical doctor, and a Pathology Report dataset. Our LSTM-based method was the best performing, except for the MedNLP dataset. The rule-based method was best for the MedNLP dataset. The LSTM-based method achieved a good score of 83.07 points for this MedNLP dataset, which differs by 1.16 points from the best score obtained using the rule-based method. Results suggest that LSTM adapted well to different characteristics of our datasets. Our LSTM-based method performed better than our CRF-based method, yielding a 7.41 point F1-score, when applied to our Pathology Report dataset. This report is the first of study applying this LSTM-based method to any de-identification task of a Japanese EHR. CONCLUSIONS: Our LSTM-based machine learning method was able to extract named entities to be de-identified with better performance, in general, than that of our rule-based methods. However, machine learning methods are inadequate for processing expressions with low occurrence. Our future work will specifically examine the combination of LSTM and rule-based methods to achieve better performance. Our currently achieved level of performance is sufficiently higher than that of publicly available Japanese de-identification tools. Therefore, our system will be applied to actual de-identification tasks in hospitals.

DOI： 10.1186/s13326-020-00227-9

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Hindawi  

Poor quality of biological samples will result in an inaccurate analysis of next-generation sequencing (NGS). Therefore, methods to accurately evaluate sample integrity are needed. Among methods for evaluating RNA quality, the RNA integrity number equivalent (RINe) is widely used, whereas the DV200, which evaluates the percentage of fragments of >200 nucleotides, is also used as a quality assessment standard. In this study, we compared the RINe and DV200 RNA quality indexes to determine the most suitable RNA index for the NGS analysis. Seventy-one RNA samples were extracted from formalin-fixed paraffin-embedded tissue samples (n = 30), fresh-frozen samples (n = 25), or cell lines (n = 16). After assessing RNA quality using the RINe and DV200, we prepared two kinds of stranded mRNA sequencing libraries. Finally, we calculated the correlation between each RNA quality index and the amount of library product (1st PCR product per input RNA). The DV200 measure showed stronger correlation with the amount of library product than the RINe (R 2 = 0.8208 for the DV200 versus 0.6927 for the RINe). Receiver operating characteristic curve analyses revealed that the DV200 was the better marker for predicting efficient library production than the RINe using a threshold of >10 ng/ng for the amount of the 1st PCR product per input RNA (cutoff value for the RINe and DV200, 2.3 and 66.1%; area under the curve, 0.99 and 0.91; sensitivity, 82% and 92%; and specificity, 93% and 100%, respectively). Our results indicate that NGS libraries prepared using RNA samples with the DV200 value > 66.1% exhibit greater sensitivity and specificity than those prepared with the RINe values > 2.3. These findings suggest that the DV200 is superior to the RINe, especially for low-quality RNA, because it is a more consistent assessment of the amount of the 1st NGS library product per input.

DOI： 10.1155/2020/9349132

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The survival rate of cardiac arrest patients is less than 10%; therefore, development of a therapeutic strategy that improves their prognosis is necessary. Herein, we searched data collected from medical facilities throughout Japan for drugs that improve the survival rate of cardiac arrest patients. Candidate drugs, which could improve the prognosis of cardiac arrest patients, were extracted using "TargetMine," a drug discovery tool. We investigated whether the candidate drugs were among the drugs administered within 1 month after cardiac arrest in data of cardiac arrest cases obtained from the Japan Medical Data Center. Logistic regression analysis was performed, with the explanatory variables being the presence or absence of the administration of those candidate drugs that were administered to ≥10 patients and the objective variable being the "survival discharge." Adjusted odds ratios for survival discharge were calculated using propensity scores for drugs that significantly improved the proportion of survival discharge; the influence of covariates, such as patient background, medical history, and treatment factors, was excluded by the inverse probability-of-treatment weighted method. Using the search strategy, we extracted 165 drugs with vasodilator activity as candidate drugs. Drugs not approved in Japan, oral medicines, and external medicines were excluded. Then, we investigated whether the candidate drugs were administered to the 2,227 cardiac arrest patients included in this study. The results of the logistic regression analysis showed that three (isosorbide dinitrate, nitroglycerin, and nicardipine) of seven drugs that were administered to ≥10 patients showed significant association with improvement in the proportion of survival discharge. Further analyses using propensity scores revealed that the adjusted odds ratios for survival discharge for patients administered isosorbide dinitrate, nitroglycerin, and nicardipine were 3.35, 5.44, and 4.58, respectively. Thus, it can be suggested that isosorbide dinitrate, nitroglycerin, and nicardipine could be novel therapeutic agents for improving the prognosis of cardiac arrest patients.

DOI： 10.3389/fphar.2019.01257

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Authorship：Lead author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1101/19004770

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Language：English   Publishing type：Research paper (scientific journal)  

The majority of marathon deaths are caused by sudden cardiac arrest (SCA), which occur in approximately 1 in 57,000 runners. Such deaths are more common among older males and usually occur in the last 4 miles of the racecourse. Although prompt resuscitation, including early use of an automated external defibrillator (AED), improves survival, the deployment of enough trained medical staff and AEDs is difficult due to increased cost. Moreover, most victims of exercise-related SCA have no premonitory symptoms. Therefore, we tried to use a novel approach to prevent sudden cardiac deaths (SCD) related to SCA using real-time electrocardiographic tele-monitoring system, as an initial trial to assess operative possibility in a full marathon. As a result, 3 out of 5 runners had reasonable measurement results and sufficient tele-monitoring without complications related to this trial was possible. However, many investigations and improvements, such as improving cost-effectiveness, reducing noise, and automating the monitoring system, are needed for practical application of these devices for athletes. As a next step, we would establish a novel strategy to reduce SCDs in athletes using next-generation devices, which include an alarm system associated with early application of AED. <Learning objectives: Sudden cardiac arrest (SCA) is a major problem in sports cardiology. Here we investigated a novel approach using a real-time tele-monitoring system of electrocardiogram (ECG) to prevent sudden cardiac deaths by making use of an advanced alarm system which responds to SCA risk. Three out of five cases we monitored showed reasonable measurement of ECG with centralized observation in full marathon. This is the first report of this method, which may lead to the effective application of automated external defibrillator in athletes.>.

DOI： 10.1016/j.jccase.2019.03.008

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BACKGROUND: The amount of medical and clinical-related information on the Web is increasing. Among the different types of information available, social media-based data obtained directly from people are particularly valuable and are attracting significant attention. To encourage medical natural language processing (NLP) research exploiting social media data, the 13th NII Testbeds and Community for Information access Research (NTCIR-13) Medical natural language processing for Web document (MedWeb) provides pseudo-Twitter messages in a cross-language and multi-label corpus, covering 3 languages (Japanese, English, and Chinese) and annotated with 8 symptom labels (such as cold, fever, and flu). Then, participants classify each tweet into 1 of the 2 categories: those containing a patient's symptom and those that do not. OBJECTIVE: This study aimed to present the results of groups participating in a Japanese subtask, English subtask, and Chinese subtask along with discussions, to clarify the issues that need to be resolved in the field of medical NLP. METHODS: In summary, 8 groups (19 systems) participated in the Japanese subtask, 4 groups (12 systems) participated in the English subtask, and 2 groups (6 systems) participated in the Chinese subtask. In total, 2 baseline systems were constructed for each subtask. The performance of the participant and baseline systems was assessed using the exact match accuracy, F-measure based on precision and recall, and Hamming loss. RESULTS: The best system achieved exactly 0.880 match accuracy, 0.920 F-measure, and 0.019 Hamming loss. The averages of match accuracy, F-measure, and Hamming loss for the Japanese subtask were 0.720, 0.820, and 0.051; those for the English subtask were 0.770, 0.850, and 0.037; and those for the Chinese subtask were 0.810, 0.880, and 0.032, respectively. CONCLUSIONS: This paper presented and discussed the performance of systems participating in the NTCIR-13 MedWeb task. As the MedWeb task settings can be formalized as the factualization of text, the achievement of this task could be directly applied to practical clinical applications.

DOI： 10.2196/12783

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DOI： 10.24105/ejbi.2018.14.1.9

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File： advpub_0163-17.pdf

DOI： 10.2169/internalmedicine.0163-17

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File： 17BIO484%組織検体の処理までの時間とRNAの安定性に関する研究（岡大バイオバンク）.pdf

DOI： 10.1089/bio.2017.0076

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Language：English   Publishing type：Research paper (international conference proceedings)  

File： W16-4203.pdf

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Publisher：National Institute of Informatics (NII)  

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Other Link： http://dblp.uni-trier.de/db/conf/ntcir/ntcir2016.html#conf/ntcir/AramakiMKO16

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1111/cas.12845

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Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： 10.11188/seisankenkyu.67.281

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DOI： 10.1186/2041-1480-6-3

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Language：Japanese   Publisher：科学技術振興機構  

Medical and health information, including genetic information, can produce important benefits for both individuals and the public, but this extremely sensitive resource demands special care. Therefore, it is strictly controlled in hospitals and research institutes. Nevertheless, the environment around medical and health information has been changing drastically recently, with the introduction of new ideas. Those changes are expanding the area of personal information under control of patients and the public and are strengthening patient and public involvement in medical research. This paper presents perspectives on recent patient-centered medical and health information management, emphasizing dynamic consent (dynamic informed consent) and recent environmental changes.

DOI： 10.1241/johokanri.57.3

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DOI： 10.1186/2041-1480-5-5

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Publishing type：Research paper (international conference proceedings)   Publisher：AAAI Press  

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Other Link： https://dblp.uni-trier.de/conf/aaaiss/2014

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Detecting the incidence and prevalence of infectious diseases is important because these diseases affect many people, raise the cost of healthcare, and, in some cases, can lead to a great many deaths. Recently, it has been shown that people&#039;s online activity can be applied to detecting the prevalence of influenza. In this study, we compare the characteristics of two kinds of online activities, social media and search activity, as the social sensors capable of supplying information on seasonal epidemics and an unexpected pandemic of influenza. Although both approaches showed quite high performance for the seasonal epidemics, they showed poor performance for the unexpected influenza pandemic. The social media-based approach particularly over-responded to the influenza pandemic.

File： Twitflu-LBM.pdf

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：社団法人人工知能学会  

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DOI： 10.1093/bioinformatics/btt531

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：一般社団法人情報処理学会  

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Scopus

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Publisher：National Institute of Informatics (NII)  

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Other Link： http://dblp.uni-trier.de/db/conf/ntcir/ntcir2013.html#conf/ntcir/MoritaKOMA13

Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： 10.5715/jnlp.19.419

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DOI： 10.7243/2050-2273-1-1

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DOI： 10.1186/1756-0500-5-604

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DOI： 10.1186/2046-1682-4-21

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DOI： 10.1186/1756-0500-4-143

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DOI： 10.1155/2010/289301

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DOI： 10.1038/jhg.2009.70

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：6  

DOI： 10.1021/ac802412t

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DOI： 10.1002/prot.22067

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DOI： 10.1021/ac060873x

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Rapid communication, short report, research note, etc. (bulletin of university, research institution)  

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Authorship：Lead author,　Last author,　Corresponding author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

If the therapeutic agent can be introduced into the patient's body at the optimal time and in the optimal dose, or if the optimal concentration can be maintained by doing so, it should be possible to provide a higher quality of care than is currently available. One strategy is to monitor the patient's condition and the concentrations of therapeutic agents in the body, and then to estimate the timing and dosage of medication. This paper describes the research and development of digital technology-based biomarkers and digital biomarkers for several diseases and conditions (diabetes, Parkinson's disease, asthma, COPD, pain, itch, hypertension) that are being implemented to optimize treatment.

DOI： 10.2745/dds.37.17

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)   Publisher：羊土社  

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Authorship：Lead author,　Last author,　Corresponding author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)   Publisher：Hokuryukan  

File： PM_2021_02_055_森田瑞樹先生_amed_2.pdf

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Language：Japanese   Publishing type：Meeting report  

The development of specialized training programs for medical personnel, particularly nurses, clinical laboratory technicians, and pharmacists, is considered critical for the promotion of genomic medicine throughout Japan. Specifically, medical personnel skilled at analyzing and understanding high-throughput genomic data are in high demand. In this symposium, we will introduce the basic knowledge and skills necessary for processing genomic data.

DOI： 10.1248/yakushi.19-00217-2

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)  

DOI： 10.11477/mf.1543207770

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)   Publisher：Okayama Medical Association  

DOI： 10.4044/joma.128.237

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Language：Japanese   Publisher：(一社)日本外科学会  

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Language：Japanese   Publishing type：Research paper, summary (national, other academic conference)   Publisher：日本難病医療ネットワーク学会  

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Useful pseudo data generator that is used in case that real data were not necessary in the medical and other fields, are discussed and partially implemented. The implementation consist of four parts included generating engine and interface layer to input difference equations with random variables. We used perl, python and some of free libraries for our system. Applying for actual uses, we will develop proposed filter programs for modifying time series in future.

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Authorship：Lead author   Language：Japanese   Publisher：(一社)日本医療情報学会  

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Language：Japanese   Publisher：(一社)日本医療情報学会  

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Language：Japanese   Publisher：日本難病医療ネットワーク学会  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)   Publisher：日本生物物理学会  

DOI： 10.2142/biophys.49.151

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Event date： 2025.7.4 - 2025.7.5

Language：Japanese   Presentation type：Poster presentation  

Venue：神奈川県  

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Event date： 2025.5.23 - 2025.5.25

Language：Japanese   Presentation type：Symposium, workshop panel (nominated)  

Venue：岡山県  

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Event date： 2025.3.13 - 2025.3.15

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：大阪  

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Event date： 2024.11.27 - 2024.11.29

Language：Japanese   Presentation type：Poster presentation  

Venue：福岡県  

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Event date： 2024.11.2 - 2024.11.3

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：鳥取県鳥取市  

【背景と目的】現在の診療では、採血から検査結果が出るまでに待ち時間が生じることや、外注検査の結果が出てから再び通院を行うことが患者の負担となっている。そこで、これらの負担を解消するために「遠隔採血」という制度の検討が内閣府の事業で進められている。遠隔採血は、図に示すように、診療に先立ち患者が行きやすい場所・時間帯に事前に採血のみを済ませておき、診療時には検査結果が出ている状態で診療を受けられるという制度である。これによって診察までの待ち時間を短縮することができ、また通院を１回で済ませることができる。しかし、遠隔採血は日本で現在採用されている制度ではないため、どのように実現するか明確ではない。このため本研究の目的は、臨床現場で採血を行っている医師の視点からの遠隔採血への期待と課題、および具体的なユースケース（疾患や病態）を明らかにすることである。
【方法】臨床現場で採血を実施している医師を対象としたWebアンケート調査を実施した。
【結果】319人から回答を得た。このうち「遠隔採血を実現してほしい」と回答した医師は半数以上を占めていた。診療所（図の採血施設）と比べ、遠隔採血において採血を依頼する側（図の診療施設）になる大学病院・国公立病院・一般病院に勤務する医師で回答割合が高かった。想定される課題として、異常値が出た際の早急な対応、検体の取り扱い、小児や高齢の患者への対応などが挙げられた。また、遠隔採血のユースケースは、生活習慣病、慢性疾患、定期採血をしている患者、術前採血、検査結果が出るまでの時間がかかる外注検査などが挙げられた。
【考察】遠隔採血の制度に期待をもつ医師は多かったが、勤務場所の違いにより期待には差がみられた。また、制度の実現に向けて解決しなければならない課題や、遠隔採血が適したユースケース（疾患・病態）を把握することができた。遠隔採血を現在の採血を負担に感じている患者にとってよりよい制度とするために、今後の制度設計へ反映し得る知見を得ることができた。

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Event date： 2024.8.30 - 2024.8.31

Language：Japanese   Presentation type：Poster presentation  

Venue：東京  

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Event date： 2024.8.24 - 2024.8.25

Language：Japanese   Presentation type：Poster presentation  

Venue：鎌倉（神奈川県）  

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Event date： 2024.8.23 - 2024.8.24

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：新潟（新潟県）  

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Event date： 2024.8.2 - 2024.8.3

Language：Japanese   Presentation type：Symposium, workshop panel (nominated)  

Venue：仙台（宮城県）  

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Event date： 2024.8.2 - 2024.8.3

Language：Japanese   Presentation type：Poster presentation  

Venue：仙台（宮城県）  

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Event date： 2024.8.2 - 2024.8.3

Language：Japanese   Presentation type：Poster presentation  

Venue：仙台  

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Event date： 2024.8.2 - 2024.8.3

Language：Japanese   Presentation type：Poster presentation  

Venue：仙台  

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Event date： 2024.3.8 - 2024.3.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：愛媛県  

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Event date： 2024.3.7 - 2024.3.9

Language：Japanese   Presentation type：Poster presentation  

Venue：大阪府  

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Event date： 2024.2.17 - 2024.2.18

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：岡山県  

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Event date： 2024.2.17 - 2024.2.18

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：岡山県  

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Event date： 2023.12.15 - 2023.12.17

Language：Japanese   Presentation type：Poster presentation  

Venue：三重県志摩市  

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Event date： 2023.10.23 - 2023.10.26

Language：Japanese   Presentation type：Oral presentation (general)  

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Other Link： https://cbi-society.jp/files/annual-meetings/2023/CBI2023_proceedings.pdf

Event date： 2023.7.29

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：千葉  

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Event date： 2023.7.28 - 2023.7.29

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：千葉  

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Event date： 2023.7.28 - 2023.7.29

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：千葉  

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Event date： 2023.7.28 - 2023.7.29

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：千葉  

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Event date： 2023.7.28 - 2023.7.29

Language：Japanese   Presentation type：Poster presentation  

Venue：千葉  

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Event date： 2023.7.28 - 2023.7.29

Language：Japanese   Presentation type：Poster presentation  

Venue：千葉  

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Event date： 2023.3.10 - 2023.3.11

Language：English   Presentation type：Poster presentation  

Venue：Tokyo  

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Event date： 2023.2.9 - 2023.2.10

Language：Japanese   Presentation type：Poster presentation  

Venue：石川県  

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Event date： 2022.11.30 - 2022.12.3

Language：Japanese   Presentation type：Poster presentation  

Venue：横浜（神奈川）  

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Event date： 2022.11.11 - 2022.11.12

Language：Japanese   Presentation type：Poster presentation  

Venue：京都  

岡山大学病院では手術件数が増加する中でも重篤な患者の手術をより安全・安心に行うために，多職種連携のチームによって術前評価・ 術中管理・術後疼痛管理などを行う周術期管理センター（通称PERIO）を2008年に開設した。PERIOによって患者の早期回復や在院日数の短縮などが期待されるが，これまでPERIO導入の評価は十分にできていなかった。そこで本研究では，PERIO導入の効果を定量的に明らかにすることを目的とし，DPCおよびPERIO台帳のデータを利用した後ろ向き観察研究を行なった。2011年から2017年までに脳神経外科（2014年にPERIOを開始）で手術を受けた患者を対象とし，PERIO導入前後の比較を単変量解析および差分の差分法（DID）によって行なった。評価項目は平均在院日数（全体，術前，術後），手術直前中止率，術後合併症発生率（肺炎，肺塞栓症，虚血性心疾患）とした。すべての項目でいずれの方法でも減少傾向が見られた。平均在院日数（全体）と平均在院日数（術前）はいずれの方法でも統計的な有意差が見られ（平均在院日数（全体）は単変量解析で2日減少，DIDで2.5日減少，いずれもP＜0.05），術後合併症発生率はいずれの方法でも有意差が見られなかった。

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Event date： 2022.9.16 - 2022.9.17

Language：Japanese   Presentation type：Poster presentation  

Venue：千葉，オンライン  

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Event date： 2022.8.26

Language：Japanese  

Venue：東京  

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Event date： 2022.7.8 - 2022.7.9

Language：Japanese   Presentation type：Poster presentation  

Venue：岡山  

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Event date： 2022.7.8 - 2022.7.9

Language：Japanese   Presentation type：Poster presentation  

Venue：岡山  

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Event date： 2022.7.8 - 2022.7.9

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：Okayama  

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Event date： 2022.7.8 - 2022.7.9

Language：Japanese   Presentation type：Poster presentation  

Venue：岡山  

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Event date： 2022.7.7 - 2022.7.8

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：Osaka  

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Event date： 2022.2.3 - 2022.2.4

Language：English   Presentation type：Oral presentation (general)  

Venue：Online  

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Event date： 2021.11.8 - 2021.11.10

Language：English   Presentation type：Poster presentation  

Venue：Online  

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Event date： 2021.9.11

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：オンライン  

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Event date： 2021.5.29 - 2021.5.30

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：オンライン  

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Event date： 2021.5.10 - 2021.5.14

Language：English   Presentation type：Oral presentation (invited, special)  

Venue：Online  

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Event date： 2021.5.10 - 2021.5.14

Language：English   Presentation type：Poster presentation  

Venue：Online  

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Event date： 2021.3.6

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：オンライン  

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Event date： 2021.2.11 - 2021.2.25

Language：Japanese  

Venue：群馬県，オンライン  

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Event date： 2020.10.22 - 2020.10.23

Language：English   Presentation type：Poster presentation  

Venue：Online  

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Event date： 2020.10.22 - 2020.10.23

Language：English   Presentation type：Poster presentation  

Venue：Online  

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Event date： 2020.10.22 - 2020.10.23

Language：English   Presentation type：Poster presentation  

Venue：Online  

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Event date： 2020.9.29 - 2020.9.30

Language：English   Presentation type：Poster presentation  

Venue：Online  

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Event date： 2020.5.25 - 2020.5.27

Language：Japanese   Presentation type：Poster presentation  

Venue：Okayama  

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Event date： 2020.1.18 - 2020.1.19

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京  

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Event date： 2019.10

Language：Japanese  

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Event date： 2019.7.5 - 2019.7.7

Language：Japanese   Presentation type：Poster presentation  

Venue：福岡  

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Event date： 2019.5.7 - 2019.5.10

Language：English   Presentation type：Poster presentation  

Venue：Shanghai  

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Event date： 2019.3.20 - 2019.3.23

Language：Japanese   Presentation type：Symposium, workshop panel (nominated)  

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Event date： 2019.3

Language：Japanese  

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Event date： 2019.1.25 - 2019.1.26

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京  

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Event date： 2018.11.20 - 2018.11.25

Language：Japanese   Presentation type：Poster presentation  

Venue：福岡  

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Event date： 2018.9.19 - 2018.9.21

Language：Japanese   Presentation type：Symposium, workshop panel (nominated)  

Venue：Tsuruoka (Yamagata)  

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Event date： 2018.8.30 - 2018.9.1

Language：Japanese   Presentation type：Poster presentation  

Venue：Fukuoka (Fukuoka)  

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Event date： 2018.7

Language：Japanese  

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Event date： 2017.11.20 - 2017.11.23

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：大阪  

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Event date： 2017.9.13 - 2017.9.15

Language：English   Presentation type：Poster presentation  

Venue：Stockholm  

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Event date： 2017.7.20

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：岡山  

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Event date： 2016.11

Language：Japanese  

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Event date： 2016.7.23 - 2016.7.24

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：北海道  

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Event date： 2016.7.23 - 2016.7.24

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：北海道  

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Event date： 2016.7

Language：English  

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Event date： 2016.4.14 - 2016.4.16

Language：Japanese   Presentation type：Poster presentation  

Venue：大阪  

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Event date： 2016.1.27 - 2016.1.29

Language：Japanese   Presentation type：Poster presentation  

Venue：長崎  

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Event date： 2016

Language：Japanese  

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Event date： 2016

Language：Japanese  

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Event date： 2015

Language：Japanese  

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Event date： 2014.11.6

Language：Japanese  

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Event date： 2012.11

Language：Japanese  

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Event date： 2012

Language：English  

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Language：Japanese   Presentation type：Poster presentation  

Venue：岡山  

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Language：Japanese   Presentation type：Symposium, workshop panel (nominated)  

Venue：岡山大学（岡山）  

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Language：Japanese   Presentation type：Poster presentation  

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Language：Japanese   Presentation type：Poster presentation  

Venue：沖縄コンベンションセンター（沖縄）  

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Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：慶應義塾大学  

医学・生物学の70%以上の論文は結果が再現できないと言われている。原因の１つに臨床検体の品質がある。つまり，臨床検体の採取・処理・保管・輸送などの各工程をどのように管理するかが重要である。臨床検査においては以前より品質管理の取り組みが進められてきたが，近年は遺伝子関連検査における品質管理も注目を集めている。本講演では，臨床検体を大規模に扱うバイオバンクにおける品質管理について紹介する。

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Language：Japanese   Presentation type：Symposium, workshop panel (public)  

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Language：Japanese   Presentation type：Oral presentation (invited, special)  

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Language：Japanese   Presentation type：Symposium, workshop panel (public)  

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Language：Japanese   Presentation type：Poster presentation  

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Language：Japanese   Presentation type：Poster presentation  

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Language：Japanese   Presentation type：Poster presentation  

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Language：Japanese   Presentation type：Poster presentation  

Venue：Toyonaka (Osaka)  

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Language：English   Presentation type：Poster presentation  

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Language：Japanese   Presentation type：Poster presentation  

Venue：仙台国際センター（宮城県）  

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Language：Japanese   Presentation type：Poster presentation  

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Language：Japanese   Presentation type：Oral presentation (general)  

Venue：Okayama  

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Language：Japanese   Presentation type：Poster presentation  

Venue：Bunkyo-ku (Tokyo)  

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Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：Kobe  

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Language：Japanese   Presentation type：Poster presentation  

Venue：Fukuoka  

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Language：English   Presentation type：Poster presentation  

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Language：English   Presentation type：Poster presentation  

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Language：Japanese   Presentation type：Poster presentation  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Poster presentation  

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Language：English   Presentation type：Oral presentation (general)  

Venue：San Francisco (USA)  

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Language：Japanese   Presentation type：Poster presentation  

Venue：Kobe (Japan)  

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Language：Japanese   Presentation type：Oral presentation (general)  

Venue：Kobe (Japan)  

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Language：Japanese   Presentation type：Oral presentation (general)  

Venue：Tokyo (Japan)  

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Language：English   Presentation type：Oral presentation (invited, special)  

Venue：Valencia (Spain)  

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Language：English   Presentation type：Poster presentation  

Venue：Tokyo (Japan)  

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Language：English   Presentation type：Oral presentation (general)  

Venue：San Francisco (USA)  

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Language：Japanese   Presentation type：Oral presentation (general)  

Venue：Tokyo (Japan)  

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Language：Japanese  

The exponential growth in the amount of text data requires a method of a text de-identification. So far, most of de-identification methods detect the named entities, such as a person name, location name, IDs and so on, from the texts, and remove them. However, the named entity based methods suffer from a case that non-named entity conveys the personal information. To deal with this problem, this study proposes a new de-identification method that removes document specific expressions. By using this method, possible expression in a document appears in at least other k-1 documents. The experimental results demonstrated that 84% of the health record texts and 37% of the technical papers are preserved after enforcing k-anonymity. This paper also proposes a method to estimate a preservation ratio of the proposed text k-anonymity.

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Language：English  

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Language：English   Presentation type：Oral presentation (general)  

Venue：San Francisco (USA)  

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Language：English   Presentation type：Poster presentation  

Venue：Tokyo (Japan)  

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Language：English   Presentation type：Poster presentation  

Venue：Tokyo (Japan)  

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Language：English   Presentation type：Poster presentation  

Venue：Tokyo (Japan)  

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Language：Japanese  

With the recent rise in popularity and size of social media, there is a growing need for systems that can extract useful information from this amount of data. We address the problem of detecting influenza epidemics. First, the proposed system extracts the influenza related tweets using Twitter API. Then, the SVM based classifies extracts only tweets that include real influenza patients. The experiments demonstrated the feasibility of the proposed approach (0.89 of the correlation to the gold standard). Especially in the rise of the influenza (early stage of the epidemics), the proposed method shows the high accuracy (0.97 correlation), which is the same accuracy to the state-of-the-art method. This paper demonstrated that Twitter texts reflect the real world, and Natural Language Processing (NLP) technique could extracts the information.

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Language：Japanese   Presentation type：Oral presentation (general)  

Venue：豊橋技術科学大学（愛知県）  

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Language：English   Presentation type：Poster presentation  

Venue：Cambridge (UK)  

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Language：English  

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Language：English  

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Language：English  

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Language：Japanese   Presentation type：Oral presentation (general)  

Venue：日本大学理工学部船橋キャンパス（千葉県）  

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Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：産総研臨海副都心センター（東京都）  

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Language：English   Presentation type：Poster presentation  

Venue：Tokyo (Japan)  

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Language：English   Presentation type：Poster presentation  

Venue：Toronto (Canada)  

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Language：English   Presentation type：Poster presentation  

Venue：Tokyo (Japan)  

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Language：English   Presentation type：Poster presentation  

Venue：Yokohama (Japan)  

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Language：English   Presentation type：Poster presentation  

Venue：Okinawa (Japan)  

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Language：English   Presentation type：Poster presentation  

Venue：Okinawa (Japan)  

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Language：English   Presentation type：Poster presentation  

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Language：English   Presentation type：Poster presentation  

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Language：Japanese   Presentation type：Oral presentation (general)  

Venue：神奈川大学横浜キャンパス（横浜県）  

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Language：Japanese   Presentation type：Oral presentation (general)  

Venue：関西学院大学西宮上ケ原キャンパス（兵庫県）  

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Language：Japanese   Presentation type：Oral presentation (general)  

Venue：熊本大学工学部（熊本県）  

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Audience： General

Type：Lecture

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Audience： Researchesrs,　General,　Scientific,　Company,　Governmental agency

Type：Seminar, workshop

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Audience： High school students,　College students,　Graduate students,　General

Type：Science cafe

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