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Identify key maternal, neonatal, and obstetric predictors of early mother-newborn skin-to-skin contact using machine learning algorithms.

February 18, 2025BMC Pregnancy and ChildbirthOpen Access

Predicting mother and newborn skin-to-skin contact using a machine learning approach

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Identify key maternal, neonatal, and obstetric predictors of early mother-newborn skin-to-skin contact using machine learning algorithms.
Extracted demographic, clinical, and obstetric data from the Iranian Maternal and Neonatal Network for 8,031 eligible mothers between January 2020 and January 2022.
Trained and evaluated nine statistical and machine learning models, including deep learning feedforward, linear regression, random forest, and support vector machines, using metrics including AUROC and F1 score.
Of the 8,031 eligible mothers, 3,759 (46.8%) engaged in skin-to-skin contact following birth.
Deep learning achieved the highest predictive performance (AUROC: 0.81, accuracy: 0.75, precision: 0.67, recall: 0.77, F1 score: 0.73), followed by linear regression (AUROC: 0.80, accuracy: 0.75, precision: 0.66, recall: 0.75, F1 score: 0.71).
Doula support, neonatal birth weight, gestational age, attendance at childbirth preparation classes, and maternal age served as the most influential predictors across the top-performing algorithms.

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Implication

Retrospective cohort study demonstrates predictors of skin-to-skin contact in mothers and newborns, highlighting doula support and birth education as critical drivers.

Cite This Study

Safarzadeh et al. (2025) studied this question.

synapsesocial.com/papers/6aacd659e2afdd0a4daab120 https://doi.org/10.1186/s12884-025-07313-9

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Implication

Retrospective cohort study demonstrates predictors of skin-to-skin contact in mothers and newborns, highlighting doula support and birth education as critical drivers.

Predicting mother and newborn skin-to-skin contact using a machine learning approach

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Predicting mother and newborn skin-to-skin contact using a machine learning approach

Key Points

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Implication

Cite This Study

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