Complete Blood Count and MDW-based Machine Learning Algorithms for Sepsis Detection: a Multicentric Development and External Validation Study (Preprint)-Reference-Cited by-同舟云学术

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Complete Blood Count and MDW-based Machine Learning Algorithms for Sepsis Detection: a Multicentric Development and External Validation Study (Preprint)

Published:2023-12-15 Issue: Volume: Page:
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:

Author:

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

Publisher

JMIR Publications Inc.

Reference63 articles.

1. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

2. Time to Treatment and Mortality during Mandated Emergency Care for Sepsis

3. Surviving Sepsis Campaign

4. Diagnosing sepsis – The role of laboratory medicine

5. Biomarkers for sepsis: more than just fever and leukocytosis—a narrative review

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