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

Sepsis is an organ dysfunction caused by a dysregulated host response to infection. Early detection is fundamental to improving the patient outcome. Laboratory medicine can play a crucial role by providing biomarkers whose alteration can be detected before the onset of clinical signs and symptoms. I...

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Vydáno v:	Journal of medical Internet research Ročník 27; číslo 8; s. e55492
Hlavní autoři:	Campagner, Andrea, Agnello, Luisa, Carobene, Anna, Padoan, Andrea, Del Ben, Fabio, Locatelli, Massimo, Plebani, Mario, Ognibene, Agostino, Lorubbio, Maria, De Vecchi, Elena, Cortegiani, Andrea, Piva, Elisa, Poz, Donatella, Curcio, Francesco, Cabitza, Federico, Ciaccio, Marcello
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Canada Journal of Medical Internet Research 26.02.2025 Gunther Eysenbach MD MPH, Associate Professor JMIR Publications
Témata:	Aged Algorithms Artificial intelligence Biological markers Biomarkers Biomarkers - blood Blood Blood Cell Count Classification Clinical medicine Comparative analysis Data mining Datasets Distribution Emergency medicine Emergency services Ethylenediaminetetraacetic acid Female Generalizability Health aspects Hospitals Humans Infection Intensive care Laboratories Machine Learning Male Medicine Middle Aged Missing data Monocytes - cytology Operators Original Paper Patients Predictions Robustness Rules Sepsis Sepsis - blood Sepsis - diagnosis Validation studies Validity Width Italy organ development study detection data distribution controllable AI validation study biomarker machine learning artificial intelligence sepsis detection complete blood count organ dysfunction clinical symptoms external validation medical machine learning diagnostic early detection machine learning model clinical signs sepsis
ISSN:	1438-8871, 1439-4456, 1438-8871
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