Development of a visualized risk prediction system for sarcopenia in older adults using machine learning: a cohort study based on CHARLS.

Journal: Frontiers in public health

PMID: 40144970

INTRODUCTION: The older adult are at high risk of sarcopenia, making early identification and scientific intervention crucial for healthy aging.

Jinsong Du

School of Health Management, Zaozhuang University, Zaozhuang, 277000, China.
Xinru Tao

School of Health Management, Zaozhuang University, Zaozhuang, China.
Le Zhu

Department of Mechatronics Engineering, College of Engineering, Huazhong Agricultural University, Wuhan 430070, China.
Heming Wang

School of Nursing, Jilin University, Jilin, China.
Wenhao Qi

School of Nursing, Hangzhou Normal University, Hangzhou, China.
Xiaoqiang Min

Department of Teaching and Research, Shandong Coal Health School, Zaozhuang, China.
Shujie Wei

Image Center, Zaozhuang Municipal Hospital, Zaozhuang, China.
Xiaoyan Zhang

Institute of Information and Navigation, Air Force Engineering University, Xi'an, Shaanxi, China.
Qiang Liu

Blood Transfusion Laboratory, Jiangxi Provincial Blood Center Nanchang 330052, Jiangxi, China.

Aged Aged, 80 and over Algorithms China Cohort Studies Female Humans Longitudinal Studies Machine Learning Male Middle Aged Risk Assessment Risk Factors Sarcopenia

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