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

Original Article (22) Machine Learning (1007) Artificial Intelligence (668) Decision Support for Health Professionals (737) Clinical Information and Decision Making (904) Big Data (169) Electronic Health Records (783)

Published on in Vol 3 , No 1 (2022) :Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37951, first published .
Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development

Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development

Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development

Authors of this article:

Hisashi Kurasawa 1 Author Orcid Image ;   Kayo Waki 2 Author Orcid Image ;   Akihiro Chiba 1, 3 Author Orcid Image ;   Tomohisa Seki 2 Author Orcid Image ;   Katsuyoshi Hayashi 1 Author Orcid Image ;   Akinori Fujino 1 Author Orcid Image ;   Tsuneyuki Haga 1, 4 Author Orcid Image ;   Takashi Noguchi 5 Author Orcid Image ;   Kazuhiko Ohe 2 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics
Hisashi Kurasawa 1 * , PhD ;   Kayo Waki 2 * , MPH, MD, PhD ;   Akihiro Chiba 1, 3 , PhD ;   Tomohisa Seki 2 , MD, PhD ;   Katsuyoshi Hayashi 1 , PhD ;   Akinori Fujino 1 , PhD ;   Tsuneyuki Haga 1, 4 , PhD ;   Takashi Noguchi 5 , MD, PhD ;   Kazuhiko Ohe 2 , MD, PhD

1 Nippon Telegraph and Telephone Corporation , Tokyo , JP

2 Department of Healthcare Information Management , The University of Tokyo Hospital , Tokyo , JP

3 NTT DOCOMO, INC , Tokyo , JP

4 NTT-AT IPS Corporation , Kanagawa , JP

5 National Center for Child Health and Development , Tokyo , JP

*these authors contributed equally

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