Using the Machine Learning Model in Breastfeeding Continuity

In a rapidly changing global context, innovative and evidence-based approaches are essential for breastfeeding support. This study offers guidance for developing and improving programs that promote sustained breastfeeding, contributing to maternal and infant health.

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Publication Details

Journal
The Journal of Perinatal & Neonatal Nursing
Published
2025-12-09
DOI
https://doi.org/10.1097/jpn.0000000000000977
Primary Topic
Breastfeeding Practices and Influences
Type
article
Field-Weighted Citation Impact
0.00
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article

Using the Machine Learning Model in Breastfeeding Continuity

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The Journal of Perinatal & Neonatal Nursing
Breastfeeding Practices and Influences
article

Using the Machine Learning Model in Breastfeeding Continuity

Sibel Küçük
article en

Abstract

In a rapidly changing global context, innovative and evidence-based approaches are essential for breastfeeding support. This study offers guidance for developing and improving programs that promote sustained breastfeeding, contributing to maternal and infant health.

The Journal of Perinatal & Neonatal Nursing
Ministry of Health (TR), University of Health Science (KH), Knowledge Unlatched (Germany) (DE), Centro Universitario Fluminense (BR), University of Health Sciences Antigua (AG)
Openalex Percentile: Top 49%
Breastfeeding Practices and Influences
DOISourceOpenAlex
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