Estimation of postpartum depression risk from electronic health records using machine learning

Estimation of postpartum depression risk from electronic health records using machine learning

Abstract Background Postpartum depression is a widespread disorder, adversely affecting the well-being of mothers and their newborns. We aim to utilize machine learning for predicting risk of postpartum depression (PPD) using primary care electronic health records (EHR) data, and to evaluate the pot...

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Bibliographic Details
Main Authors: Guy Amit, Irena Girshovitz, Karni Marcus, Yiye Zhang, Jyotishman Pathak, Vered Bar, Pinchas Akiva
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Pregnancy and Childbirth
Subjects:
Postpartum depression
Machine learning
Electronic health records
Online Access:https://doi.org/10.1186/s12884-021-04087-8

Internet

https://doi.org/10.1186/s12884-021-04087-8

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