Development and validation of machine learning-augmented algorithm for insulin sensitivity assessment in the community and primary care settings: a population-based study in China

Insulin plays a central role in the regulation of energy and glucose homeostasis, and insulin resistance (IR) is widely considered as the "common soil" of a cluster of cardiometabolic disorders. Assessment of insulin sensitivity is very important in preventing and treating IR-related disea...

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Veröffentlicht in:	Frontiers in endocrinology (Lausanne) Jg. 15; S. 1292346
Hauptverfasser:	Zhang, Hao, Zeng, Tianshu, Zhang, Jiaoyue, Zheng, Juan, Min, Jie, Peng, Miaomiao, Liu, Geng, Zhong, Xueyu, Wang, Ying, Qiu, Kangli, Tian, Shenghua, Liu, Xiaohuan, Huang, Hantao, Surmach, Marina, Wang, Ping, Hu, Xiang, Chen, Lulu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 2024
Schlagworte:	Adult Algorithms China - epidemiology community settings Endocrinology Humans Insulin - blood Insulin Resistance insulin sensitivity assessment Machine Learning primary care settings Primary Health Care risk factors China community settings risk factors insulin sensitivity assessment machine learning primary care settings
ISSN:	1664-2392, 1664-2392
Online-Zugang:	Volltext
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