Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research.

We utilized machine learning (ML) methods on data from the PROMOTE, a novel psychosocial screening tool, to quantify risk for prenatal depression for individual patients and identify contributing factors that impart greater risk for depression. Random forest algorithms were used to predict likelihoo...

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Publicado en:	Archives of Women's Mental Health Vol. 25; no. 5; pp. 965 - 974
Autores principales:	Preis, Heidi, Djurić, Petar M., Ajirak, Marzieh, Chen, Tong, Mane, Vibha, Garry, David J., Heiselman, Cassandra, Chappelle, Joseph, Lobel, Marci
Formato:	equations & formulas research tables/charts Journal Article
Publicado:	Springer Nature Oct2022
Acceso en línea:	Ver este registro en EBSCOhost