A machine learning approach to identifying pregnant women's risk for persistent post-traumatic stress following childbirth
Author:
Publisher
Elsevier BV
Subject
Psychiatry and Mental health,Clinical Psychology
Reference69 articles.
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3. Diagnostic and Statistical Manual of Mental Health Disorders,2013
4. Perspectives of expectant women and health care providers on birth plans;Aragon;J. Obstet. Gynaecol. Can.,2013
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1. A machine learning approach to identifying non-parental caregivers' risk for harsh caregiving towards infants in daycare centers;Early Childhood Research Quarterly;2024
2. Persistent symptoms of maternal post‐traumatic stress following childbirth across the first months postpartum: Associations with perturbations in maternal behavior and infant avoidance of social gaze toward mother;Infancy;2023-06-17
3. Identifying women with postdelivery posttraumatic stress disorder using natural language processing of personal childbirth narratives;American Journal of Obstetrics & Gynecology MFM;2023-03
4. MATRA: An Automated System for MATernal Risk Assessment;Human-Centric Smart Computing;2022-11-29
5. Risk Factors for Post-Traumatic Stress Disorder after Childbirth: A Systematic Review;Diagnostics;2022-10-26
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