Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development

Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development

Abstract BackgroundDiabetes affects millions worldwide. Primary care physicians provide a significant portion of care, and they often struggle with selecting appropriate medications. ObjectiveThis study aimed to develop a model that accurately predicts what drug an...

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Bibliographic Details
Main Authors:	Hisashi Kurasawa, Kayo Waki, Tomohisa Seki, Eri Nakahara, Akinori Fujino, Nagisa Shiomi, Hiroshi Nakashima, Kazuhiko Ohe
Format:	Article
Language:	English
Published:	JMIR Publications 2025-06-01
Series:	JMIR Medical Informatics
Online Access:	https://medinform.jmir.org/2025/1/e67748
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