Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study

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Opis bibliograficzny
Wydane w:	Journal of Medical Internet Research vol. 27 (2025), p. e67525
1. autor:	Jin-Hyun, Park
Kolejni autorzy:	Jeong, Inyong, Gang-Jee Ko, Jeong, Seogsong, Lee, Hwamin
Wydane:	Gunther Eysenbach MD MPH, Associate Professor
Hasła przedmiotowe:	National Cholesterol Education Program Population Laboratories Long term Public health Epidemiology Genomics Risk factors Cholesterol Nutrition Chronic illnesses Risk assessment Review boards Bioelectrical impedance Measurement techniques Genomes Health facilities Abdomen Primary care Access Machine learning Hypertension Body composition Prevention Ability Insulin Validation studies Medical history Metabolic disorders Obesity Cardiovascular disease Medical screening Cardiovascular diseases Health education Missing data Metabolic syndrome Surveillance Early intervention Disease control Clinical assessment Metabolic diseases Resistance Disease Intervention Data Predictions Validity Evaluation Identification Aging Urban population
Dostęp online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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