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

Amit, Guy; Girshovitz, Irena; Marcus, Karni; Zhang, Yiye; Pathak, Jyotishman; Bar, Vered; Akiva, Pinchas

Amit, Guy; Girshovitz, Irena; Marcus, Karni; Zhang, Yiye; Pathak, Jyotishman; Bar, Vered; Akiva, Pinchas.

Amit G; KI Research Institute, Kfar Malal, Israel. guy@kinstitute.org.il.
Girshovitz I; KI Research Institute, Kfar Malal, Israel.
Marcus K; KI Research Institute, Kfar Malal, Israel.
Zhang Y; Division of Health Informatics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Pathak J; Division of Health Informatics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Bar V; Women's Mental Health, Sheba Medical Center, Ramat Gan, Israel.
Akiva P; KI Research Institute, Kfar Malal, Israel.

BMC Pregnancy Childbirth ; 21(1): 630, 2021 Sep 17.

Article en En | MEDLINE | ID: mdl-34535116

Asunto(s)

Depresión Posparto/epidemiología; Medición de Riesgo/métodos; Adolescente; Adulto; Área Bajo la Curva; Estudios de Cohortes; Registros Electrónicos de Salud; Femenino; Humanos; Aprendizaje Automático; Persona de Mediana Edad; Embarazo; Factores de Riesgo; Reino Unido/epidemiología; Adulto Joven

Palabras clave

Electronic health records; Machine learning; Postpartum depression

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Medición de Riesgo / Depresión Posparto Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Middle aged / Pregnancy País como asunto: Europa Idioma: En Año: 2021 Tipo del documento: Article

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