Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study.
第一作者:
Maik Jm,Beuken
第一单位:
Faculty of Financial Management, Research Center for Statistics & Data Science, Zuyd University of Applied Sciences, Sittard, Netherlands.
作者:
关键词
FPDC algorithmMaastricht StudySES feature selectionchronic diseasecluster analysisdiabetesfactor probabilistic distance clusteringheart diseasehypothesis freelong-term behavior changeobesityparticipant clustersphysical activityphysical inactivitypoor nutritionrisk factorstatistically equivalent signaturetype 2 diabetesunsupervised machine learning
医学主题词
人类(Humans);男(雄)性(Male);女(雌)性(Female);中年人(Middle Aged);横断面研究(Cross-Sectional Studies);聚类分析(Cluster Analysis);肥胖症(Obesity);成年人(Adult);危险因素(Risk Factors);生活方式(Life Style);算法(Algorithms)
DOI
10.2196/64479
PMID
39908080
发布时间
2025-05-05
- 浏览0
JMIR medical informatics
2025年13卷
e64479页
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