Deep Phenotyping of Obesity: Electronic Health Record–Based Temporal Modeling Study

Obesity affects approximately 40% of adults and 15%-20% of children and adolescents in the United States, and poses significant economic and psychosocial burdens. Currently, patient responses to any single antiobesity medication (AOM) vary significantly, making obesity deep phenotyping and associate...

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Veröffentlicht in:	Journal of medical Internet research Jg. 27; H. 25; S. e70140
Hauptverfasser:	Ruan, Xiaoyang, Lu, Shuyu, Wang, Liwei, Wen, Andrew, Murali, Sameer, Liu, Hongfang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Canada Journal of Medical Internet Research 20.08.2025 JMIR Publications
Schlagworte:	Adolescent Adult Analysis Child Clinical Informatics Clinical Information and Decision Making Digital Biomarkers and Digital Phenotyping Drug therapy Electronic Health Records Electronic records Female Healthcare industry software Humans Hypoglycemic agents Incidence and Prevalence of Obesity Male Medical records Obesity Obesity - drug therapy Ontologies, Classifications, and Coding Original Paper Phenotype Precision Medicine precision medicine phenotyping EHR anti-obesity medication obesity
ISSN:	1438-8871, 1439-4456, 1438-8871
Online-Zugang:	Volltext
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