Development of a predictive model for exclusive breastfeeding at 3 months using machine learning : a secondary analysis of a cross-sectional survey

A robust model was developed to predict exclusive breastfeeding that identified feeding planning and breastfeeding at 1 month as the most influential predictors. The model could be implemented in clinical and community settings to guide tailored breastfeeding support strategies, coupled with the integration of maternal self-respect, grit, and the value placed on children in counseling programs to promote exclusive breastfeeding.

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Publication Details

Journal
Journal of Korean Academy of Nursing
Published
2025-10-28
DOI
https://doi.org/10.4040/jkan.25086
Primary Topic
Breastfeeding Practices and Influences
Type
article
Field-Weighted Citation Impact
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article

Development of a predictive model for exclusive breastfeeding at 3 months using machine learning : a secondary analysis of a cross-sectional survey

Hyun Kyoung Kim
Journal of Korean Academy of Nursing
Breastfeeding Practices and Influences
article

Development of a predictive model for exclusive breastfeeding at 3 months using machine learning : a secondary analysis of a cross-sectional survey

Hyun Kyoung Kim
article en

Abstract

A robust model was developed to predict exclusive breastfeeding that identified feeding planning and breastfeeding at 1 month as the most influential predictors. The model could be implemented in clinical and community settings to guide tailored breastfeeding support strategies, coupled with the integration of maternal self-respect, grit, and the value placed on children in counseling programs to promote exclusive breastfeeding.

Journal of Korean Academy of NursingVol. 55(4)
Kongju National University (KR)
Openalex Percentile: Top 58%
Breastfeeding Practices and Influences
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