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

Perinatal Depression; Postpartum Depression; PPD (153) Pediatrics (351) Machine Learning (2976) Sleep Monitoring, Sleep Quality, Sleep Disorders (322) Sleep Medicine (52)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78937, first published .
Mother holding newborn baby in her arms near a window

Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach

Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach

Authors of this article:

Rawan AlSaad1 Author Orcid Image ;   Raghad Burjaq2 Author Orcid Image ;   Majid AlAbdulla3, 4 Author Orcid Image ;   Alaa Abd-alrazaq1 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image ;   Rajat Thomas1 Author Orcid Image
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Journals

  1. Keshinro O, Musa A, Abayomi A, Masisi B, Zungeru A. Deep Learning for Postpartum Depression Prediction Using Behavioral Data: A Systematic Review. IEEE Access 2026;14:86560 View