Machine learning analysis for the association between breast feeding and metabolic syndrome in women

Abstract This cross-sectional study aimed to develop and validate population-based machine learning models for examining the association between breastfeeding and metabolic syndrome in women. The artificial neural network, the decision tree, logistic regression, the Naïve Bayes, the random forest an...

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Bibliographic Details
Main Authors: Jue Seong Lee, Eun-Saem Choi, Hwasun Lee, Serhim Son, Kwang-Sig Lee, Ki Hoon Ahn
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-53137-6