Development and validation of a machine learning-based postpartum depression prediction model: a nationwide cohort study - Hochman E, Feldman B, Weizman A, Krivoy A, Gur S, Barzilay E, Gabay H, Levy J, Levinkron O, Lawrence G.

BACKGROUND: Currently, postpartum depression (PPD) screening is mainly based on self-report symptom-based assessment, with lack of an objective, integrative tool which identifies women at increased risk, before the emergent of PPD. We developed and validat...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Research Methods, Surveillance and Codes, Models Source Type: news