Visualization obesity risk prediction system based on machine learning

Autor:	Jinsong Du, Sijia Yang, Yijun Zeng, Chunhong Ye, Xiao Chang, Shan Wu
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Medicine Science
Zdroj:	Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Druh dokumentu:	article
ISSN:	2045-2322 94498075
DOI:	10.1038/s41598-024-73826-6
Popis:	Abstract Obesity is closely associated with various chronic diseases.Therefore, accurate, reliable and cost-effective methods for preventing its occurrence and progression are required. In this study, we developed a visualized obesity risk prediction system based on machine learning techniques, aiming to achieve personalized comprehensive health management for obesity. The system utilized a dataset consisting of 1678 anonymized health examination records, including individual lifestyle factors, body composition, blood routine, and biochemical tests. Ten multi-classification machine learning models, including Random Forest and XGBoost, were constructed to identify non-obese individuals (BMI
Databáze:	Directory of Open Access Journals
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