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

Methods and New Tools in Mental Health Research (454) Depression and Mood Disorders; Suicide Prevention (1363) Machine Learning (1465) Perinatal Depression; Postpartum Depression; PPD (94) Reviews in Digital Mental Health (243) Big Data (240) Artificial Intelligence (1371) Diagnostic Tools in Mental Health (242)

Published on in Vol 8, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29838, first published .
Machine Learning Methods for Predicting Postpartum Depression: Scoping Review

Machine Learning Methods for Predicting Postpartum Depression: Scoping Review

Machine Learning Methods for Predicting Postpartum Depression: Scoping Review

Authors of this article:

Kiran Saqib1 Author Orcid Image ;   Amber Fozia Khan1 Author Orcid Image ;   Zahid Ahmad Butt1 Author Orcid Image
Article Authors Cited by (25) Tweetations (4) Metrics

Kiran Saqib   1 , MBBS, MSPH ;   Amber Fozia Khan   1 , BSc ;   Zahid Ahmad Butt   1 , MBBS, MSc, PhD

1 School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada

Corresponding Author: