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

• Main Authors: Guy Amit (Author), Irena Girshovitz (Author), Karni Marcus (Author), Yiye Zhang (Author), Jyotishman Pathak (Author), Vered Bar (Author), Pinchas Akiva (Author)
• Format: Book
• Published: BMC, 2021-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...