Explainable machine learning models predicting the risk of social isolation in older adults: a prospective cohort study

The combination of Gbdt and SHAP provides a clear explanation of the factors contributing to predicting the personalized risk of social isolation for individuals and an intuitive understanding of the impact of key features.

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Publication Details

Journal
BMC Public Health
Published
2025-05-30
DOI
https://doi.org/10.1186/s12889-025-23108-1
Citations
5
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
10.84

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article

Explainable machine learning models predicting the risk of social isolation in older adults: a prospective cohort study

Yong-lu, Xiaoran Li, Ming Jiang
5 citations
BMC Public Health
Health disparities and outcomes
10.84
article

Explainable machine learning models predicting the risk of social isolation in older adults: a prospective cohort study

Yong-lu, Xiaoran Li, Ming Jiang
article en
5 citations

Abstract

The combination of Gbdt and SHAP provides a clear explanation of the factors contributing to predicting the personalized risk of social isolation for individuals and an intuitive understanding of the impact of key features.

BMC Public HealthVol. 25(1)
Wannan Medical College (CN), Gaochun People's Hospital (CN), Southeast University (CN)
Anhui University
Reduced inequalities
Openalex Percentile: Top 2%
Health disparities and outcomes
10.84
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