An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach

An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach

BackgroundEarly detection of anxiety symptoms can support early intervention and may help reduce the burden of disease in later life in the elderly with abdominal obesity, thereby increasing the chances of healthy aging. The objective of this research is to formulate and validate a predictive model...

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Bibliographic Details
Main Authors: Tengfei Niu, Shiwei Cao, Jingyu Cheng, Yu Zhang, Zitong Zhang, Ruiling Xue, Jingxi Ma, Qian Ran, Xiaobing Xian
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Psychiatry
Subjects:
abdominal obesity
anxiety symptoms
XGBoost
SHAP
older adults
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1451703/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1451703/full

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