Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning
Objective: Women with intersecting identities, such as being both Black and disabled, face heightened risk of antenatal depression, yet few studies examine its nuanced mechanisms. To capture complex, interactive associations among risk factors, we applied explainable machine learning to predict ante...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2026-05-01
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| coleção: | Preventive Medicine Reports |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2211335526000653 |
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