Browsing Department of Information Technology by Subject "Algorithms"
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Evaluation of screening parameters and machine learning models for the prediction of neonatal sepsis: A systematic review
(Research square, 2022)About 2.9 million neonates die every year worldwide, and most of these deaths occur in low-resource settings. Neonatal sepsis occurs when there is a bacterial invasion in the bloodstream; the immune system begins a systemic ...