Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes

OBJECTIVE: Development of novel informatics methods focused on improving pregnancy outcomes remains an active area of research. The purpose of this study is to systematically review the ways that artificial intelligence (AI) and machine learning (ML), including deep learning (DL), methodologies can...

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Detalles Bibliográficos
Autores principales: Davidson, Lena, Boland, Mary Regina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Method Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424395/
https://www.ncbi.nlm.nih.gov/pubmed/33406530
http://dx.doi.org/10.1093/bib/bbaa369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424395/
https://www.ncbi.nlm.nih.gov/pubmed/33406530
http://dx.doi.org/10.1093/bib/bbaa369

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