[PB-4] Prognostic factors by admission profile and air pollutants

*Kikue Sato¹, Taiki Furukawa¹, Daisuke Kobayashi², Satoshi Yamashita¹, Yoshimune Shiratori¹ (1. Nagoya University, 2. Kyoto University)

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[PB-5] Deep learning based presuming for molecular biological profiles of endometrial cancer using digital images of HE-stained specimens

*MINA UMEMOTO¹, TASUKU MARIYA¹, MAI NAGATA², TOSHIHIRO HORIMAI³, SHOTA SHINKAI¹, SHINTARO SUGITA⁴, TAKAYUKI KANASEKI⁵, MOTOKI MATSUURA¹, MASAHIRO IWASAKI¹, YOSHIHIKO HIROHASHI⁵, TADASHI HASEGAWA⁴, TOSHIHIKO TORIGOE⁵, TSUYOSHI SAITO¹, YUICHI FUJINO² (1. Department of Obstetrics and Gynecology, Sapporo Medical University School, 2. Department of Media Architecture, Future University Hakodate, Hokkaido, Japan, 3. Limited Liability Company Gomes Company, Sapporo, Hokkaido, Japan, 4. Department of Surgical Pathology, Sapporo Medical University, Sapporo, Hokkaido, Japan, 5. Department of Pathology, Sapporo Medical University School, Hokkaido, Japan)

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[PB-6] Application of secure multiparty computation and secure multiparty computation AI in clinical research

*Takahito Konagaya¹, Takuma Aizu¹, Ken Ogata², Daisuke Sato², Sonoko Misawa², Sadahisa Ogasawara², Toshibumi Taniguchi², Yoichi Sakurai¹, Kensuke Yoshimura² (1. NTT Communications Corporation, 2. Chiba University Hospital)

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[PB-7] Projected changes in the frequency of diseases causing death due to changes in disease classification considering mapping from ICD-10 to ICD-11: a study using real-world data from the Inpatient Clinico-Occupational Survey of the Rosai Hospital Group

*Keika Hoshi^1,2, Akihiro Toyota³, Masayuki Tatemichi⁴, Noriko Kojimahara⁵ (1. Center for Public Health Informatics, National Institute of Public Health, 2. Department of Hygiene, Kitasato University School of Medicine, 3. Chugoku Rosai Hospital Research Center for the Promotion of Health and Employment Support, Japan Organization of Occupational Health and Safety, 4. Department of Preventive Medicine, Tokai University School of Medicine, 5. Department of Public Health, Shizuoka Graduate University of Public Health)

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[PB-8] Industry-academia collaboration at Tohoku University Hospital

*Shinya Sonobe¹, Susumu Fujii¹, Naoki Nakamura¹, Takashi Yokota¹, Hirotaka Shimura¹, Tomoya Kobayashi¹, Takuya Shiga¹, Hideki Ohta¹, Soichi Ogishima², Gen Tamiya², Takuya Ueda¹, Teiji Tominaga¹ (1. Tohoku University Hospital, 2. Tohoku University, Graduate School of Medicine)

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[PB-9] Analyzing the Time Trend of Supply/demand of Rehabilitation Services Using NDB Open Data Japan

*Yasuhiro Morii^1,2, Kagari Abiko³, Tomoki Ishikawa^2,4, Kensuke Fujiwara ^2,5, Keiko Konomura¹, Katsuhiko Ogasawara² (1. Center for Outcomes Research and Economic Evaluation for Health, National Institute of Public Health, 2. Faculty of Health Sciences, Hokkaido University, 3. Department of Rehabilitation, Sapporo Azabu Neurosurgical Hospital , 4. Institute for Health Economics and Policy, 5. Graduate School of Commerce, Otaru University of Commerce)

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[PB-10] Validation of an algorithm to identify acute pancreatitis in a large medical database

*Rieko Izukura¹, Tadashi Kandabashi², Chinatsu Nojiri², Akie Hirata², Nao Fujimori³, Takanori Yamashita², Atsushi Takada², Hideto Yokoi⁴, Keizo Anzai⁵, Yoshihiro Ogawa³, Yoshiaki Uyama⁶, Naoki Nakashima² (1. Department of Basic Medicine, Faculty of Medical Sciences, Kyushu University, 2. Medical Information Center, Kyushu University Hospital, 3. Dep. Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 4. Department of Medical Informatics, Kagawa University Hospital, 5. Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, 6. Pharmaceuticals and Medical Devices Agency)

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[PB-11] Regional hospital bed allocation and hospital practice management based on regional medical demand derived from NDB(National Database) and estimated future population

*Shun Nishita¹, Tokiharu Miyahara¹ (1. Bihoku Healthcare Center of Okayama Prefecture )

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[PB-12] Overview of authorised projects under the Act on Anonymously Processed Medical Information for the Purposes of Research and Development in the Medical Field and issues to be addressed in the dissemination of their utilisation.

*Mayumi Yoshida^1,2, Ryuichi Yamamoto^1,2, Toshimitsu Kawai¹, Katsuya Tanaka³, Yoshinori Yamashita⁴, Kouji Yoshida⁵, Daiki Oota⁵, Hideo Takeshita⁵, Kazuhiro Ogawa⁵ (1. Fair and safe use of Anonymized Standardized Health Data of Japan, 2. Medical Information System Development Center,, 3. National Cancer Center Japan, 4. University of Fukui Hospital, 5. Hitachi, Ltd.)

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[PB-13] Establishing feasible outcome definitions in lung cancer and malignant lymphoma with using medical information databases

*Shinichiro IKEDA Ikeda^1,2, Rieko Izukura¹, Chinatsu Nojiri¹, Atsushi Takada¹, Akie Hirata¹, Takanori Yamashita¹, Tadashi Kandabashi¹, Eiji Oki², Yoshiaki Uyama³, Tomoharu Yoshizumi², Naoki Nakashima¹ (1. Medical Information Center, Kyushu University Hospital, 2. The Department of Surgery and Science , Graduate School of Medical Sciences, Kyushu University,, 3. Pharmaceuticals and Medical Devices Agency)

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