Personalized machine learning approach to predict candidemia in medical wards.

Purpose: Candidemia is a highly lethal infection; several scores have been developed to assist the diagnosis process and recently different models have been proposed. Aim of this work was to assess predictive performance of a Random Forest (RF) algorithm for early detection of candidemia in the inte...

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Bibliographic Details

Published in:	Infection Vol. 48; no. 5; pp. 749 - 760
Main Authors:	Ripoli, Andrea, Sozio, Emanuela, Sbrana, Francesco, Bertolino, Giacomo, Pallotto, Carlo, Cardinali, Gianluigi, Meini, Simone, Pieralli, Filippo, Azzini, Anna Maria, Concia, Ercole, Viaggi, Bruno, Tascini, Carlo
Format:	algorithm research tables/charts Journal Article
Published:	Springer Nature Oct2020
Online Access:	View this record in EBSCOhost