[AP2-E2-2-04] A Survey of Patient Opinion on the Role of Telehealth in Sri Lanka

*Gumindu G.A.K Kulatunga¹, Roshan H. Hewapathirana², Rohana Basil Marasingha³, Vajira H.W. Dissanayake² (1. Postgraduate Institute of Medicine, University of Colombo, Sri Lanka, 2. Faculty of Medicine, University of Colombo, Sri Lanka, 3. Faculty of Medical Science, University of Sri Jayewardenepura, Sri Lanka)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download

[AP2-E2-3-01] Meal Completion as a Substitutional Event for Clinical Pathway Completion: Extension of Comparison from Single Hospital Database to That of Multiple Hospitals

*Hiroki Furuhata^1,2, Kenji Araki¹, Taisuke Ogawa¹ (1. Department of Hospital Institutional Research, University of Miyazaki Hospital, Japan, 2. Graduate School of Medicine and Veterinary Medicine, University of Miyazaki, Japan)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download

[AP2-E2-3-02] Development of a FHIR Application Based on SS-MIX2 Data

*Dingding Xiao¹, Naoki Nakamura², Yuji Mogi³, Fumiyoshi Haginoya³, Shintaro Kaminaka⁴, Tomoko Furuzono⁴, Masaharu Nakayama^1,2 (1. Medical Informatics, Tohoku University Graduate School of Medicine, Japan, 2. Medical IT center, Tohoku University Hospital, Japan, 3. LEAD Co., Ltd., Japan, 4. InterSystems Japan K.K, Japan)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download

[AP2-E2-3-03] Incorporation of the Korean EDI Vocabulary into the OMOP Vocabulary

*Yeonchan Seong^1,2, Seng Chan You¹, Yeunsook Rho³, Jimyung Park⁴, Jaehyeong Cho⁴, Jiwoo Kim³, Yun-jung Heo³, Rae Woong Park^1,4 (1. Department of Biomedical Informatics, Ajou University School of Medicine, Korea, 2. Department of Sociology, Yonsei University, Korea, 3. Health Insurance Review & Assessment Service, Korea, 4. Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Korea)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download

[AP2-E2-4-01] Effects of the Sampling Frequency Change in Eye Movement Analysis Using Deep Convolutional Neural Network: Comparison with Other Analyses by Open Annotated Gaze Data

*Takayoshi Terashita¹, Tetsuo Sato¹, Shoko Tsutsumi¹, Mitsuru Sato¹, Toshihiro Ogura¹, Kunio Doi^1,2 (1. Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, Japan, 2. Department of Radiology, University of Chicago, USA)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download

[AP2-E2-4-02] OuBioBERT: An Enhanced Pre-Trained Language Model for Biomedical Text With/Without Whole Word Masking

*Shoya Wada¹, Toshihiro Takeda¹, Shiro Manabe¹, Shozo Konishi¹, Yasushi Matsumura¹ (1. Department of Medical Informatics, Osaka University Graduate School of Medicine, Japan)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download

[AP2-E2-4-03] Basic Study of Artificial Intelligence Model with Deep Learning Algorithms for Peripheral Blood Leukocyte Classification

*Hiroyuki Nozaka¹, Miku Oda², Ami Sasaki², Mae Miyazaki², Honoka Harako², Manabu Nakano¹, Miyuki Fujioka¹, Kazufumi Yamagata¹ (1. Hirosaki University Graduate School of Health Sciences, Japan, 2. Hirosaki University School of Health Sciences, Japan)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download

[AP2-E2-4-04] Clinical Assessment of Artificial Intelligence Model for Leukocyte Classification in Peripheral Blood Smear Screening

*Hiroyuki Nozaka¹, Ami Sasaki², Miku Oda², Mae Miyazaki², Honoka Harako², Manabu Nakano¹, Miyuki Fujioka¹, Kazufumi Yamagata¹ (1. Hirosaki University Graduate School of Health Sciences, Japan, 2. Hirosaki University School of Health Sciences, Japan)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download

[AP2-E2-4-05] An Electronic Phenotyping Algorithm to Identify Cases of Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis in the MID-NET Database

*Rieko Izukura¹, Takeshi Nakahara³, Takamichi Ito³, Chinatsu Nojiri², Tadashi Kandabashi², Takanori Yamashita², Atsushi Takada², Yoshiaki Uyama⁴, Naoki Nakashima² (1. Social Medicine, Department of Basic Medicine, Faculty of Medical Sciences, Kyushu University, Japan, 2. Medical Information Center, Kyushu University Hospital, Japan, 3. Department of Dermatology, Graduate School of Medical Sciences, Kyushu University, Japan, 4. Pharmaceuticals and Medical Devices Agency, Japan)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download

[AP2-E2-4-06] A Deep Learning Model for Improved Breast Cancer Risk Prediction

*Md. Mohaimenul Islam^1,2, Hsuan-Chia Yang^1,2, Phung-Anh Nguyen^1,2, Yu-Hsiang Wang³, Tahmina Nasrin Poly^1,2, Yu-Chuan (Jack) Li^1,2 (1. Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taiwan, 2. International Center for Health Information Technology, Taipei Medical University, Taiwan, 3. College of Medicine, Taipei Medical University, Taiwan)

The 40th Joint Conference on Medical Informatics / APAMI2020 |PDF Download