A machine learning approach to identifying pregnant women's risk for persistent post-traumatic stress following childbirth

Volume: 296, Pages: 136 - 149
Published: Jan 1, 2022
Abstract
Recent literature identifies childbirth as a potentially traumatic event, following which mothers may develop symptoms of Post-Traumatic-Stress-Following-Childbirth (PTS-FC). Especially when persistent, PTS-FC may interfere with mothers' caregiving and associated infant development, underscoring the need for accurate predictive screening of risk. Drawing on recent developments in advanced statistical modeling, the aim of the current study was to...
Paper Details
Title
A machine learning approach to identifying pregnant women's risk for persistent post-traumatic stress following childbirth
Published Date
Jan 1, 2022
Volume
296
Pages
136 - 149
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