AIMC Topic: Depression, Postpartum

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Predicting peripartum depression using elastic net regression and machine learning: the role of remnant cholesterol.

BMC pregnancy and childbirth May 8, 2025
BACKGROUND: Traditional statistical methods have dominated research on peripartum depression (PPD), but innovative approaches may provide deeper insights. This study aims to predict the impact factors of PPD using elastic net regression (ENR) combine...
Humans Machine Learning Pregnancy Female Risk Factors Adult Longitudinal Studies Magnesium Cholesterol Depression, Postpartum Peripartum Period
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Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: We developed and externally validated a machine-learning model to predict postpartum depression (PPD) using data from electronic health records (EHRs). Effort is under way to implement the PPD prediction model within the EHR system for cli...
Humans Machine Learning Electronic Health Records Female Risk Assessment Decision Support Systems, Clinical Depression, Postpartum
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