Barely Significant
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Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis.

BMC Public Health · 2025 · PMC11887244 · PMID 40050868

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highly significantno p-value reported
Our SHAP analysis also underscored that women’s residing geographical location is a highly significant predictor of the number of women obtaining SBA at birth.

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