Abstract Background Low birth weight (LBW) is a critical global health issue that affects infants disproportionately. particularly in developing countries. This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns. drawing from midwife-led continuity care (MLCC). https://pipingrockers.shop/product-category/luteolin/
Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia
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