Identification of depression predictors from standard health surveys using machine learning
Depression has profound personal, societal, and economic impacts. Leveraging advances in technology can help identify predictors of depression. In this study, we compared seven machine learning (ML) algorithms to identify depression predictors using publicly available datasets from standard health s...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
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| Series: | Current Research in Behavioral Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666518224000111 |
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