This paper is in the following e-collection/theme issue:

Machine Learning (1501) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Artificial Intelligence in Diabetes Care and Prevention (29)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22148, first published .
Machine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study

Machine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study

Machine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study

Authors of this article:

Kazuya Fujihara1 Author Orcid Image ;   Yasuhiro Matsubayashi1 Author Orcid Image ;   Mayuko Harada Yamada1 Author Orcid Image ;   Masahiko Yamamoto1 Author Orcid Image ;   Toshihiro Iizuka2 Author Orcid Image ;   Kosuke Miyamura2 Author Orcid Image ;   Yoshinori Hasegawa2 Author Orcid Image ;   Hiroshi Maegawa3 Author Orcid Image ;   Satoru Kodama1 Author Orcid Image ;   Tatsuya Yamazaki4 Author Orcid Image ;   Hirohito Sone1 Author Orcid Image
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