Predicting depression and unravelling its heterogeneous influences in middle-aged and older people populations: a machine learning approach
Abstract Background Aging has become a global trend, and depression, as an accompanying issue, poses a significant threat to the health of middle-aged and older adults. Existing studies primarily rely on statistical methods such as logistic regression for small-scale data analysis, while research on...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
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| Series: | BMC Psychology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40359-025-02691-3 |
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