Application and Analysis of Random Forest and Support Vector Classification in Risk Prediction of Childhood Obesity and Hyperuricemia

Application and Analysis of Random Forest and Support Vector Classification in Risk Prediction of Childhood Obesity and Hyperuricemia

Yuhang Wang,1,* Shuang Shi,1,* Xinghua Wei,1 Yanjing Wu,1 Yunlong Shi,1 Jin Cai2 1Graduate School, Nantong University, Nantong, Jiangsu, People’s Republic of China; 2Department of Pediatrics, Affiliated Hospital of Nantong University, Nantong, Jiangsu, People’s Republic of Ch...

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Bibliographic Details
Main Authors: Wang Y, Shi S, Wei X, Wu Y, Shi Y, Cai J
Format: Article
Language:English
Published: Dove Medical Press 2025-07-01
Series:Diabetes, Metabolic Syndrome and Obesity
Subjects:
Childhood obesity
hyperuricemia
machine learning
random forest
support vector classification
SHAP
Online Access:https://www.dovepress.com/application-and-analysis-of-random-forest-and-support-vector-classific-peer-reviewed-fulltext-article-DMSO
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