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Early malaria risk screening in Nigerian minors using AutoML and cluster-based analysis of non-clinical survey data
Malaria remains a major public health challenge in sub-Saharan Africa, with Nigeria accounting for a substantial proportion of the global malaria burden, particularly among children under five years of age. Although rapid diagnostic tests (RDTs) enable timely screening, false-negative results and d
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