Estimation of postpartum depression risk from electronic health records using machine learning

BACKGROUND: Postpartum depression is a widespread disorder, adversely affecting the well-being of mothers and their newborns. We aim to utilize machine learning for predicting risk of postpartum depression (PPD) using primary care electronic health records (EHR) data, and to evaluate the potential v...

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Detalles Bibliográficos
Autores principales: Amit, Guy, Girshovitz, Irena, Marcus, Karni, Zhang, Yiye, Pathak, Jyotishman, Bar, Vered, Akiva, Pinchas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447665/
https://www.ncbi.nlm.nih.gov/pubmed/34535116
http://dx.doi.org/10.1186/s12884-021-04087-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447665/
https://www.ncbi.nlm.nih.gov/pubmed/34535116
http://dx.doi.org/10.1186/s12884-021-04087-8

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