[PB-09] - ACTIVE DEFENSE - Development of the system that actively communicates "notice" about patients to clinicians

*Hayakawa Motoharu¹, Yoshifumi Kuwayama², Shunsuke Iwai³, Daijiro Kojima¹, Saeko Higashiguchi¹, Koji Nagasaka³, Nobuyuki Adati³, Ryosuke Yanagiya², Yuichi Hirose¹ (1. Dept. of Neurosurgery, Fujita Health University, 2. Division of Medical Information Systems, Fujita Health University Hospital, 3. Canon Medical Systems Corp.)

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[PB-10] Extract singularities for Severely Handicapped Children with the Aim of Developing a System to Notify Changes in Response

*Emiko Yokozeki¹, Yuri Ikemoto², Tomoki Kozima², Kayo Ogawa¹, Toshiaki Hashimoto³, Hitomi Kobayashi³, Yuri Hama³, Kyoko Mori³, Kohji Yamamoto² (1. Shikoku University Faculty of Nursing Department of Nursing, 2. Shikoku University Faculty of Management and Information Science Department of Media and Information Systems, 3. Japanese Red Cross Tokushima Hinomine Rihabilitation Center for People with Disabilities)

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[PB-11] Effect of color channel for diagnostic performance of glaucoma in deep learning

*Masakazu Hirota Hirota^1,2, Kenji Inoue³, Tatsuya Mimura², Takao Hayashi^1,2, Junichi Kotoku⁴, Tomohiro Sawa⁵, Atsushi Mizota² (1. Department of Orthoptics, Faculty of Medical Technology Teikyo University ., 2. Department of Ophthalmology, School of Medicine Teikyo University., 3. Inoue Eye Hospital., 4. Department of Clinical Radiology, Faculty of Medical Technology Teikyo University., 5. Teikyo University Medical Information Systems Research Center.)

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[PB-12] Factor analysis of early rehabilitation in elderly hospitalized patients with aspiration pneumonia

*Koji Muto¹, Kyoko Nakazawa², Kohei Akazawa³ (1. Dept. of Pharmacy, Niigata City General Hospital, 2. Dept. of Pharmacy, Niigata University Hospital, 3. Dept. of Medical Infomatics, University Hospital)

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[PB-13] Development of a model for predicting postoperative infection in gastrointestinal surgery patients

*Nakazawa Kyoko^1,2, Takashi Ishikawa², Akira Toyama¹, Kouhei Akazawa² (1. Dept. of Pharmacy, Niigata University of medical and dental Hospital , 2. Dept. of Medical Infomatics, Niigata University of medical and dental Hospita)

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[PB-14] Analyzing Complication Costs of Laparoscopic Radical Cystectomy using DPC claim data

*Yasuhiro Morii¹, Takahiro Osawa², Toru Harabayashi³, Takumi Tanikawa⁴, Hiroko Yamashina¹, Nobuo Shinohara², Katsuhiko Ogasawara¹ (1. Faculty of Health Sciences, Hokkaido University, 2. Department of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, 3. Department of Urology, Hokkaido Cancer Center, 4. Faculty of Health Sciences, Hokkaido University of Science)

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[PB-15] Predicting Patients’ Mortality from Medical Insurance Claim Database

*Jumpei Sato¹, Kazuo Goda¹, Masaru Kitsuregawa¹, Naohiro Mitsutake² (1. Institute of Industrial Science, The University of Tokyo, 2. Institute for Health Economics and Policy)

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[PB-16] Proposal for Federated Learning Based on Medical Data Features

*Yunwei Ma¹, Kazuya Okamoto^1,2, Osamu Sugiyama², Goshiro Yamamoto², Hiroshi Sasaki², Masayuki Nambu², Tomohiro Kuroda^1,2 (1. Graduate School of Informatics, Kyoto University, 2. Kyoto University Hospital)

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[PB-17] Evaluating quantile regression using simulation data including BMI and Age

*Naoki Nishimoto¹, Naomi Tamura², Ito. M. Yoichi² (1. Hokkaido University Hospital, Clinical Research and Medical Innovation Center, 2. The Institute of Statistical Mathematics, Research Center for Medical and Health Data Science)

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[PB-18] Analysis of crude drug duplication in Kampo prescriptions based on electronic medical records

*Hiroko Furuhashi¹, Tasuku Okui¹, Jinsang Park¹, Ichiro Kimura², Shoji Tokunaga³, Naoki Nakashima¹ (1. Kyushu University Hospital Medical Information Center, 2. anect Inc., 3. Clinical Research Support Center Kyushu)

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