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- Title
Database-based machine learning in sepsis deserves attention. Author's reply.
- Authors
Kalimouttou, Alexandre; Pirracchio, Romain
- Abstract
Database-based machine learning in sepsis deserves attention. In the Medical Information Mart for Intensive Care-IV (MIMIC-IV), there is a specific table for septic patients that includes antibiotic time, culture time, suspected infection time, Sequential Organ Failure Assessment (SOFA) score and SOFA score time. To adhere as closely as possible to the SEPSIS-3 definition [[2]], in our study [[3]] the onset of sepsis was not defined by admission time to intensive care but by the suspected infection time when the SOFA score was equal to or higher than 2.
- Subjects
SEPSIS; MACHINE learning; SEPTIC shock
- Publication
Intensive Care Medicine, 2023, Vol 49, Issue 2, p264
- ISSN
0342-4642
- Publication type
Article
- DOI
10.1007/s00134-022-06972-y