This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1589) Clinical Informatics (1122) Artificial Intelligence (1646) Machine Learning (1666) Intensive Care Unit (ICU) (132) Nosocomial Infections (26) New Methods (1015) Computer-Aided Diagnosis (172)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55492, first published .
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

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

Authors of this article:

Andrea Campagner1 Author Orcid Image ;   Luisa Agnello2 Author Orcid Image ;   Anna Carobene3 Author Orcid Image ;   Andrea Padoan4, 5 Author Orcid Image ;   Fabio Del Ben6 Author Orcid Image ;   Massimo Locatelli3 Author Orcid Image ;   Mario Plebani4, 5 Author Orcid Image ;   Agostino Ognibene7 Author Orcid Image ;   Maria Lorubbio7 Author Orcid Image ;   Elena De Vecchi1 Author Orcid Image ;   Andrea Cortegiani2, 8 Author Orcid Image ;   Elisa Piva9 Author Orcid Image ;   Donatella Poz10 Author Orcid Image ;   Francesco Curcio10 Author Orcid Image ;   Federico Cabitza1, 11 Author Orcid Image ;   Marcello Ciaccio2, 8 Author Orcid Image
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