Interpretable ensemble learning model with shapley additive explanations for predicting anxiety symptoms risk in Chinese older adults with body shape index abnormality

Kai Wang

doi:10.1371/journal.pone.0335437

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Open Access

Peer-reviewed

Research Article

Interpretable ensemble learning model with shapley additive explanations for predicting anxiety symptoms risk in Chinese older adults with body shape index abnormality

Kai Wang

Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing

* E-mail: wangkai0552@126.com

Affiliations School of Medical Informatics and Engineering, Bengbu Medical College, Bengbu, China, Innovation Team for Governance and Application of Health Information Resources, Bengbu Medical College, Bengbu, China

https://orcid.org/0000-0002-9098-3017

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Interpretable ensemble learning model with shapley additive explanations for predicting anxiety symptoms risk in Chinese older adults with body shape index abnormality

Kai Wang

Published: October 30, 2025
https://doi.org/10.1371/journal.pone.0335437

About the Authors

Kai Wang

Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing

* E-mail: wangkai0552@126.com

Affiliations School of Medical Informatics and Engineering, Bengbu Medical College, Bengbu, China, Innovation Team for Governance and Application of Health Information Resources, Bengbu Medical College, Bengbu, China

https://orcid.org/0000-0002-9098-3017

Competing Interests

The authors have declared that no competing interests exist.

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Anxiety
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Medical risk factors
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Geriatric care
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Cognitive psychology
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Geriatric psychiatry
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Adipose tissue
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Human learning
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Machine learning
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