[AP3-E2-1-01] OHIDAS Toolkit, the PHC, and Tanya Pakar: A Multi-level, Vertically Integrated Digital Health Promotion, Primary Prevention and Telemedicine Provision Programme

*Nicholas Pang¹, Helen Benedict Lasimbang¹, Mohd. Hanafi Ahmad Hijazi², Mohd Nizar Bin Hamild¹, Mohd Azhar Bin Dris¹, Wendy Shoesmith³, Fumihiko Yokota⁴, Rafiqul Islam Maruf⁵, Naoki Nakashima⁵ (1. Hospital Universiti Malaysia Sabah, Universiti Malaysia Sabah, Malaysia, 2. Pusat Pengurusan Data dan Maklumat, Universiti Malaysia Sabah, Malaysia, 3. Fakulti Perubatan dan Sains Kesihatan, Universiti Malaysia Sabah, Malaysia, 4. Institute of Decision Science for Sustainable Society, Kyushu University, Japan, 5. Medical Information Centre, Kyushu University Hospital, Kyushu University, Japan)

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[AP3-E2-1-02] A Survey of Public Perception Toward Personal Health Record in Japan

*Toshihiro Takeda¹, Katsuki Okada¹, Shirou Manabe¹, Yasushi Matsumura¹ (1. Osaka University Graduate School of Medicine, Japan)

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[AP3-E2-1-03] A Way of Practical Establishing a Nationwide Shared Dataset for the Continuity of Care, Based on International Standard Dataset

*Melaku Haile Likka¹, Yukio Kurihara² (1. Medical Graduate School, Graduate School of Integrated Arts and Sciences, Kochi University, Japan, 2. Division of Health Informatics, Medical School, Kochi University, Japan)

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[AP3-E1-1-01] Predictions of the Hemoglobin A1c (HbA1c) Concentration of Drug Treatments for Diabetes Using Machine-Learning Algorithms

*Kenichi Hirota¹, Hisashi Osanai², Shuka Kiritani², Yusuke Sarukura², Hirofumi Ohnishi¹ (1. Department of Medical Information Planning, Sapporo Medical University, Japan, 2. Fujitsu Hokuriku Systems Limited, Japan)

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[AP3-E1-1-02] An Application of Heterogeneous Mixture Learning for Mild Cognitive Impairment Subtyping

*Masataka Kikuchi¹, Kaori Kobayashi^1,2, Kensaku Kasuga³, Akinori Miyashita³, Takeshi Ikeuchi³, Eiji Yumoto⁴, Yasuto Fushimi², Toshihiro Takeda⁵, Shirou Manabe⁵, Kenichi Kamijo², Yasushi Matsumura⁵ (1. Department of Genome Informatics, Graduate School of Medicine, Osaka University, Japan, 2. Medical Solutions Division, NEC Corporation, Japan, 3. Department of Molecular Genetics, Brain Research Institute, Niigata University, Japan, 4. Biometrics Research Laboratories, NEC Corporation, Japan, 5. Department of Medical Informatics, Graduate School of Medicine, Osaka University, Japan)

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[AP3-E1-1-03] An Analysis on Remote Healthcare Data for Future Health Risk Prediction to Reduce Health Management Cost

*Shaira Tabassum¹, Masuda Begum Sampa², Rafiqul Islam Maruf³, Fumihiko Yokota⁴, Naoki Nakashima³, Ashir Ahmed² (1. Department of Computer Science and Engineering, United International University, Bangladesh, 2. Department of Advanced Information Technology, Kyushu University, Japan, 3. Medical Information Center, Kyushu University Hospital, Japan, 4. Institute of Decision Science for a Sustainable Society, Kyushu University, Japan)

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[AP3-E2-2-01] Practical Use of a Multicenter Clinical Research Support System Connected to Electronic Medical Records

*Shirou Manabe¹, Toshihiro Takeda¹, Atsushi Hattori², Masashi Yamamoto³, Yoshie Shimai³, Yoshiki Namiuchi², Junji Yamaguchi², Syozo Konishi¹, Yasushi Matsumura^1,2 (1. Medical Informatics, Osaka University Graduate School of Medicine, Japan, 2. MKS Ltd., Osaka, Japan, 3. Division of Medical Informatics, Osaka University Hospital, Japan)

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[AP3-E2-2-02] Development and Validation of Radiology Common Data Model (R-CDM) for the International Standardization of Medical Image Data

*Chul Hyoung Park¹, Seng Chan You¹, Chang Won Jeong², Mee Young Park³, Jin Wook Choi⁴, Rae Woong Park^1,5 (1. Department of Biomedical Informatics, Ajou University School of Medicine, Korea, 2. Department of Computer Engineering, Wonkwang University, Korea, 3. Department of Biomedical Research, Busan National University Hospital, Korea, 4. Department of Radiology, Ajou University Medical Center, Korea, 5. Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Korea)

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[AP3-E1-2-01] Machine Learning for Classification of Postoperative Patient Status Using Standardized Medical Data

*Takanori Yamashita¹, Yoshifumi Wakata², Hideki Nakaguma³, Yasunobu Nohara⁴, Shinji Hato⁵, Susumu Kawamura⁵, Shuko Muraoka⁶, Masatoshi Sugita⁶, Mihoko Okada⁷, Naoki Nakashima¹, Hidehisa Soejima³ (1. Medical Information Center, Kyushu University Hospital, Japan, 2. Medical IT Center, Tokushima University Hospital, Japan, 3. Saiseikai Kumamoto Hospital, Japan, 4. Faculty of Advanced Science and Technology, Kumamoto University, Japan, 5. National Hospital Organization, Shikoku Cancer Center, Japan, 6. NTT Medical Center Tokyo, Japan, 7. Institute of Health Data Infrastructure for all)

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[AP3-E1-2-02] Cervical Cancer Screening using Machine Learning Approach

*Sari Rahmawati Kusuma Dewi¹, Jakir Hossain Bhuiyan Masud¹, Emily Chia-Yu Su¹, Ming-Chin Lin^1,2 (1. College of Medical Science and Technology, Taipei Medical University, Taiwan, 2. Taipei Medical University-Shuang Ho Hospital, Taiwan)

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