Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications

INTRODUCTION: Machine learning (ML) corresponds to a wide variety of methods that use mathematics, statistics and computational science to learn from multiple variables simultaneously. By means of pattern recognition, ML methods are able to find hidden correlations and accomplish accurate prediction...

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Detalles Bibliográficos
Autores principales: Mennickent, Daniela, Rodríguez, Andrés, Opazo, Ma. Cecilia, Riedel, Claudia A., Castro, Erica, Eriz-Salinas, Alma, Appel-Rubio, Javiera, Aguayo, Claudio, Damiano, Alicia E., Guzmán-Gutiérrez, Enrique, Araya, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235786/
https://www.ncbi.nlm.nih.gov/pubmed/37274341
http://dx.doi.org/10.3389/fendo.2023.1130139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235786/
https://www.ncbi.nlm.nih.gov/pubmed/37274341
http://dx.doi.org/10.3389/fendo.2023.1130139

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