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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Detalles Bibliográficos
Autores principales: Zhang, Weina, Liu, Han, Silenzio, Vincent Michael Bernard, Qiu, Peiyuan, Gong, Wenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226048/
https://www.ncbi.nlm.nih.gov/pubmed/32352387
http://dx.doi.org/10.2196/15516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226048/
https://www.ncbi.nlm.nih.gov/pubmed/32352387
http://dx.doi.org/10.2196/15516

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