This paper is in the following e-collection/theme issue:

Machine Learning (1501) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Depression and Mood Disorders; Suicide Prevention (1392) Perinatal Depression; Postpartum Depression; PPD (96)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15516, first published .
Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study

Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study

Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study

Authors of this article:

Weina Zhang1 Author Orcid Image ;   Han Liu2 Author Orcid Image ;   Vincent Michael Bernard Silenzio3 Author Orcid Image ;   Peiyuan Qiu4 Author Orcid Image ;   Wenjie Gong1 Author Orcid Image
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