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Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial.
Wang, Guangyu; Liu, Xiaohong; Ying, Zhen; Yang, Guoxing; Chen, Zhiwei; Liu, Zhiwen; Zhang, Min; Yan, Hongmei; Lu, Yuxing; Gao, Yuanxu; Xue, Kanmin; Li, Xiaoying; Chen, Ying.
Affiliation
  • Wang G; Ministry of Education Key Laboratory of Metabolism and Molecular Medicine, Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. guangyu.wang24@gmail.com.
  • Liu X; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China. guangyu.wang24@gmail.com.
  • Ying Z; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
  • Yang G; Ministry of Education Key Laboratory of Metabolism and Molecular Medicine, Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Chen Z; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
  • Liu Z; Big Data and Artificial Intelligence Center, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zhang M; Department of Endocrinology, XuHui Central Hospital of Shanghai, Shanghai, China.
  • Yan H; Department of Endocrinology and Metabolism, Qingpu Branch of Zhongshan Hospital affiliated to Fudan University, Shanghai, China.
  • Lu Y; Ministry of Education Key Laboratory of Metabolism and Molecular Medicine, Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Gao Y; Big Data and Biomedical AI Laboratory, College of Future Technology, Peking University, Beijing, China.
  • Xue K; Big Data and Biomedical AI Laboratory, College of Future Technology, Peking University, Beijing, China.
  • Li X; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Chen Y; Ministry of Education Key Laboratory of Metabolism and Molecular Medicine, Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. li.xiaoying@zs-hospital.sh.cn.
Nat Med ; 29(10): 2633-2642, 2023 10.
Article de En | MEDLINE | ID: mdl-37710000

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Diabète de type 2 Type d'étude: Qualitative_research Limites: Humans Langue: En Journal: Nat Med Sujet du journal: BIOLOGIA MOLECULAR / MEDICINA Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Diabète de type 2 Type d'étude: Qualitative_research Limites: Humans Langue: En Journal: Nat Med Sujet du journal: BIOLOGIA MOLECULAR / MEDICINA Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: États-Unis d'Amérique