Predictive modeling of gestational weight gain: a machine learning multiclass classification study

Predictive modeling of gestational weight gain: a machine learning multiclass classification study

Abstract Background Gestational weight gain (GWG) is a critical factor influencing maternal and fetal health. Excessive or insufficient GWG can lead to various complications, including gestational diabetes, hypertension, cesarean delivery, low birth weight, and preterm birth. This study aims to deve...

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Main Authors: Audêncio Victor, Hellen Geremias dos Santos, Gabriel Ferreira Santos Silva, Fabiano Barcellos Filho, Alexandre de Fátima Cobre, Liania A. Luzia, Patrícia H.C. Rondó, Alexandre Dias Porto Chiavegatto Filho
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Pregnancy and Childbirth
Subjects:
Gestational weight gain
Machine learning
Prediction models
Maternal health
Fetal health
Araraquara cohort
Online Access:https://doi.org/10.1186/s12884-024-06952-8
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