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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-02-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-53137-6 |