Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol

INTRODUCTION: Perinatal complications, such as perinatal depression and preterm birth, are major causes of morbidity and mortality for the mother and the child. Prediction of high risk can allow for early delivery of existing interventions for prevention. This ongoing study aims to use digital pheno...

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Detalles Bibliográficos
Autores principales: Bilal, Ayesha M, Fransson, Emma, Bränn, Emma, Eriksson, Allison, Zhong, Mengyu, Gidén, Karin, Elofsson, Ulf, Axfors, Cathrine, Skalkidou, Alkistis, Papadopoulos, Fotios C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Mental Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047888/
https://www.ncbi.nlm.nih.gov/pubmed/35477874
http://dx.doi.org/10.1136/bmjopen-2021-059033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047888/
https://www.ncbi.nlm.nih.gov/pubmed/35477874
http://dx.doi.org/10.1136/bmjopen-2021-059033

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