Explainable Machine Learning Framework for Dynamic Monitoring of Disease Prognostic Risk: Retrospective Cohort Study

Tetsuo Ishikawa   ^{1, 2, 3, 4, 5, 6 *} , PhD ;   Masahiro Shinoda   ^{4 *} , MD, PhD ;   Megumi Oya   ^{1, 3, 4, 6 *} , MD, PhD ;   Koichi Ashizaki   ^{1, 4} , BA ;   Shinichiro Ota   ⁴ , MD, PhD ;   Kenichi Kamachi   ⁴ , MD ;   Kazuhiro Sakurada   ^{1, 2} , PhD ;   Eiryo Kawakami   ^{1, 3, 4, 6} , MD, PhD ;   Masaharu Shinkai   ⁴ , MD, PhD

¹ Predictive Medicine Special Project, RIKEN Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan

² Department of Extended Intelligence for Medicine, The Ishii-Ishibashi Laboratory, Keio University School of Medicine, Tokyo, Japan

³ Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan

⁴ Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Tokyo, Japan

⁵ Collective Intelligence Research Laboratory, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan

⁶ Division of Applied Mathematical Science, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences, RIKEN, Yokohama, Japan

*these authors contributed equally