[OB1] Machine translation of English medical device adverse event terminology using deep learning

*Ayako Yagahara¹, Hideto Yokoi², Masahito Uesugi³ (1. Hokkaido University of Science, 2. Dept. of Medical Informatics, Kagawa University Hospital, 3. Hokkaido Information University)

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[OB2] Efforts to establish a unified FHIR platform for medical institutions to promote data utilization

*Yoshihiro Aoyagi¹, Mai Itagaki¹, Hisashi Osanai², Katsuyuki Nozaki², Yoshiki Nishiyama², Michihiko Aki², Toshihiko Doi¹, Katsuya Tsuchihara^1,3 (1. National Cancer Center Hopital Easet, 2. Fujitsu Limited, 3. National Cancer Center EPOC)

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[OB3] Expanding the Number of Drugs in the Prediction of Adverse Drug Events and Attempt to Improve Prediction Accuracy by Voting

*Yuki Esaka¹, Kazuya Nanzaki², Sumio Matzno², Shuji Kaneko³, Naoki Ohboshi⁴ (1. Department of Information Science, Faculty of Science and Technology, Kindai University, 2. Department of Medical Pharmacy, Faculty of Pharmacy, Kindai University, 3. Kyoto University, Graduate School of Pharmaceutical Sciences, 4. Kindai University, Graduate School of Science and Engineering)

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[OB4] Explanation of Machine Learning Models Using SHAP Considering Interaction Effects

*Yasunobu Nohara¹, Toyoshi Inoguchi², Chinatsu Nojiri³, Naoki Nakashima³ (1. Kumamoto University, 2. Fukuoka Health Promotion Support Center, 3. Kyushu University Hospital)

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[OB5] Changes in patient characteristics of first-time users of telemedicine using receipt data: A comparison before and after COVID-19 with Interrupted Time Series Analysis

*Tomoki Ishikawa^1,2, Naohiro Mitsutake¹, Jumpei Sato³, Junko Hattori³, Kazuo Goda³, Masaru Kitsuregawa³ (1. Institute for Health Economics and Policy, 2. Hokkaido University, Faculty of Health Science, 3. Institute of Industrial Science, the University of Tokyo)

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[OB6] Estimate of critical values in stochastic SIR model for infection diseases

*Shigehiro Yasui¹, Yutaka Hatakeyama¹, Yoshiyasu Okuhara¹ (1. Center of Medical Information Science, Kochi Medical School, Kochi University)

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[OB7] How do head nurses evaluate information management competencies of staff nurses?-From the perspective of human information processing skills-

*Takahiro Kubo¹, Jukai Maeda², Yasuko Kitajima² (1. Faculty of Nursing, Musashino University, 2. Faculty of Nursing, Tokyo Ariake University of Medical and Health Sciences)

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[OB8] Identification by diagnosis-related codes and diagnosis-date using receipt-database

*Saki Takeshita¹, Yuichi Nishioka¹, Shinichiro Kubo¹, Tomoya Myojin¹, Tatsuya Noda¹, Tomoaki Imamura¹ (1. Department of Public Health, Health Management and Policy, Nara Medical University)

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[OB9] An Ecological Study Using NDB Open Data on the Utilization of Disease-Specific Rehabilitation Services

*Yasuhiro Morii¹, Kagari Abiko², Tomoki Ishikawa^3,4, Kensuke Fujiwara^4,5, Keiko Konomura¹, Katsuhiko Ogasawara⁴ (1. Center for Outcomes Research and Economic Evaluation for Health, National Institute of Public Health, 2. Department of Rehabilitation, Sapporo Azabu Neurosurgical Hospital, 3. Institute for Health Economics and Policy, 4. Faculty of Health Sciences, Hokkaido University, 5. Graduate School of Commerce, Otaru University of Commerce)

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[OB10] Linkage of Disease-specific Clinical Data to Medical Information Bank

*Shozo Konishi^1,2, Toshihiro Takeda¹, Shirou Manabe¹, Katsuki Okada^1,3, Shoya Wada^1,3, Yasushi Matsumura^1,4 (1. Department of Medical Informatics, Osaka University Graduate School of Medicine, 2. Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, 3. Department of Transformative System for Medical Information, Osaka University Graduate School of Medicine, 4. National Hospital Organization Osaka National Hospital)

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