产后抑郁症
萧条(经济学)
出院
医学
精神科
心理学
产科
怀孕
重症监护医学
经济
遗传学
生物
宏观经济学
作者
Mark A. Clapp,Víctor M. Castro,Pilar Verhaak,Thomas H. McCoy,Lydia L. Shook,Andrea G. Edlow,Roy H. Perlis
标识
DOI:10.1176/appi.ajp.20240381
摘要
These findings demonstrate that a simple machine-learning model can be used to stratify the risk for PPD before delivery hospitalization discharge. This tool could help identify patients within a practice at the highest risk and facilitate individualized postpartum care planning for the prevention of, screening for, and management of PPD at the start of the postpartum period and potentially the onset of symptoms.
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