Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development
Hisashi Kurasawa
1, 2
* , PhD ;
Kayo Waki
2
* , MPH, MD, PhD ;
Tomohisa Seki
2
, MD, PhD ;
Akihiro Chiba
1, 3
, PhD ;
Akinori Fujino
1
, PhD ;
Katsuyoshi Hayashi
1
, PhD ;
Eri Nakahara
1, 2
, ME ;
Tsuneyuki Haga
1, 4
, PhD ;
Takashi Noguchi
5
, MD, PhD ;
Kazuhiko Ohe
2
, MD, PhD
1
Nippon Telegraph and Telephone Corporation, Tokyo, Japan
2
The University of Tokyo Hospital, Tokyo, Japan
3
NTT DOCOMO, Inc, Tokyo, Japan
4
NTT-AT IPS Corporation, Kanagawa, Japan
5
National Center for Child Health and Development, Tokyo, Japan
*these authors contributed equally