Identifying Predictors Associated with Risk of Death or Admission to Intensive Care Unit in Internal Medicine Patients with Sepsis: A Comparison of Statistical Models and Machine Learning Algorithms

<i>Background:</i> Sepsis is a time-dependent disease: the early recognition of patients at risk for poor outcome is mandatory. <i>Aim:</i> To identify prognostic predictors of the risk of death or admission to intensive care units in a consecutive sample of septic patients, comparing different stat...

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Detalhes bibliográficos

Principais autores:	Antonio Mirijello, Andrea Fontana, Antonio Pio Greco, Alberto Tosoni, Angelo D’Agruma, Maria Labonia, Massimiliano Copetti, Pamela Piscitelli, Salvatore De Cosmo, on behalf of the Internal Medicine Sepsis Study Group
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-05-01
Colecção:	Antibiotics
Assuntos:	sepsis machine learning prognostication internal medicine SOFA
Acesso em linha:	https://www.mdpi.com/2079-6382/12/5/925
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