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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study

Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study

On the basis of the internal test set, we compared the developed ML models with 4 different baselines: a fixed MDW threshold (threshold value 23.5 [37]), a fixed CRP threshold (threshold value 80 [44]), a fixed Sepsis Index threshold (threshold value 1 [45]), and the state-of-the-art SVM model (Mindray SVM) for sepsis diagnosis based on laboratory biomarkers proposed in the study by Aguirre and Urrechaga [31].

Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

J Med Internet Res 2025;27:e55492