Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International ConferenceHumansMachine LearningSepsisInfantNewborn
Improving Machine Learning Models of Late-onset Sepsis Prediction Using Optimized Control Group Selection: A Comparative Study.
Zheng Peng, Hendrik Niemarkt, Xi Long, Peter Andriessen, Carola van Pul
Published: 202510.1109/EMBC58623.2025.11253407
Abstract
Late-onset sepsis (LOS) remains a major cause of morbidity and mortality in preterm infants due to their immature immune systems and the complex clinical environment of neonatal intensive care units (NICUs). Predictive models leveraging non-invasive…
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