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Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study
BACKGROUND: Postpartum depression (PPD) is a serious public health problem. Building a predictive model for PPD using data during pregnancy can facilitate earlier identification and intervention. OBJECTIVE: The aims of this study are to compare the effects of four different machine learning models u...
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| Publicado no: | JMIR Med Inform |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
JMIR Publications
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7226048/ https://ncbi.nlm.nih.gov/pubmed/32352387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/15516 |
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