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

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348.pdf (905.83 KB)

Date

2023

Document type

Artículo de revisión

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Authors

Mennickent, Daniela, Rodríguez, Andrés, Opazo Delgado, María Cecilia., Riedel, Claudia A., Castro, Erica, Eriz-Salinas, Alma., Appel Rubio, Javiera., Aguayo, Claudio, Damiano, Alicia E., Guzmán Gutiérrez, Enrique., Araya, Juan

Faculty

Facultad de Medicina Veterinaria y Agronomía

Publisher

Frontiers Media S.A.

URI

http://repositorio.udla.cl/xmlui/handle/udla/1418, https://www.frontiersin.org/journals/endocrinology

DOI

10.3389/fendo.2023.1130139

Keywords

Adverse perinatal outcomes

Citation

Frontiers in Endocrinology, 14, 22 p.

Extent

22 páginas
905.8Kb

Abstract

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 pat...

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