Predicting depression risk in middle-aged and elderly adults in China using CNN-BiLSTM-Attention mechanism and LSTM+SHAP framework
Abstract Background Understanding the spatiotemporal characteristics of depression risk in middle-aged and elderly individuals is crucial for early identification and intervention. However, current research predominantly employs machine learning (ML) methods to predict depression risk, often overloo...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | BMC Psychiatry |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12888-025-07178-4 |
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