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Calibration and subgroup fairness of a childhood stunting risk model: a cross-sectional analysis of the Bangladesh Demographic and Health Survey 2022

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bangladeshepidemiologyfairnesspublic-affairspublic-policy-and-public-administrationsocial-and-behavioral-sciences
Background: Childhood stunting affects roughly one in four children under five in Bangladesh. Machine learning models are increasingly proposed for risk stratification, but published reports typically emphasise discrimination (area under the receiver operating characteristic curve, AUROC) and rarely
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