Associations between air pollution and depression risk in older adults: An improved interpretable prediction approach integrating CNN-BiLSTM-Attention with grouped SHAP

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Publication Details

Journal
BMC Geriatrics
Published
2026-11-05
DOI
https://doi.org/10.1186/s12877-026-08471-x
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Associations between air pollution and depression risk in older adults: An improved interpretable prediction approach integrating CNN-BiLSTM-Attention with grouped SHAP

Shengxian Bi, Yingchun CHEN
BMC Geriatrics
Air Quality and Health Impacts
article

Associations between air pollution and depression risk in older adults: An improved interpretable prediction approach integrating CNN-BiLSTM-Attention with grouped SHAP

Shengxian Bi, Yingchun CHEN
article en

Abstract

No abstract available for this paper.
BMC Geriatrics
Anhui Medical University (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 19%
Air Quality and Health Impacts
DOIOpen Access PDFOpenAlex
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Associations between air pollution and depression risk in older adults: An improved interpretable prediction approach integrating CNN-BiLSTM-Attention with grouped SHAP — Shengxian Bi, Yingchun CHEN · BMC Geriatrics (2026) | TGRS Research Map | TGRS