Development and economic assessment of machine learning models to predict glycosylated hemoglobin in type 2 diabetes.

Tong, Yi-Tong; Gao, Guang-Jie; Chang, Huan; Wu, Xing-Wei; Li, Meng-Ting

Tong, Yi-Tong; Gao, Guang-Jie; Chang, Huan; Wu, Xing-Wei; Li, Meng-Ting.

Afiliación

Tong YT; Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Gao GJ; Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Chang H; Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Wu XW; Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Li MT; Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, Sichuan, China.

Front Pharmacol ; 14: 1216182, 2023.

Article en En | MEDLINE | ID: mdl-37456748

Palabras clave

glycosylated hemoglobin; machine learning; model benefit; prediction models; type 2 diabetes

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Health_economic_evaluation / Prognostic_studies / Qualitative_research / Risk_factors_studies Aspecto: Patient_preference Idioma: En Revista: Front Pharmacol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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