Prediction of bacterial and fungal bloodstream infections using machine learning in patients undergoing chemotherapy.

Journal: European journal of cancer (Oxford, England : 1990)

Published Date: May 16, 2025

PURPOSE: This study aimed to develop a machine learning (ML) model to predict bloodstream infection (BSI) in chemotherapy patients.

Adhemar Villani Júnior

School Of Arts, Sciences and Humanities, University of Sao Paulo, Sao Paulo, Brazil.
Maristela P Freire

Infectious Diseases Service, Cancer Institute, University of São Paulo School of Medicine, Sao Paulo, Brazil; Department of Infectious Diseases, University of São Paulo School of Medicine, Sao Paulo, Brazil. Electronic address: maristelapf@uol.com.br.
Felippe Lazar Neto

Department of Oncology, Cancer Institute, University of Sao Paulo School of Medicine, Sao Paulo, Brazil.
Luis Alberto De Padua Covas Lage

Department of Hematology, Cancer Institute, University of Sao Paulo School of Medicine, Sao Paulo, Brazil.
Maura Salaroli Oliveira

Department of Infectious Diseases, University of São Paulo School of Medicine, Sao Paulo, Brazil.
Edson Abdala

Infectious Diseases Service, Cancer Institute, University of São Paulo School of Medicine, Sao Paulo, Brazil; Department of Infectious Diseases, University of São Paulo School of Medicine, Sao Paulo, Brazil.
Fatima L S Nunes

School Of Arts, Sciences and Humanities, University of Sao Paulo, Sao Paulo, Brazil.
Anna Sara S Levin

Department of Infectious Diseases, University of São Paulo School of Medicine, Sao Paulo, Brazil.

Adult Aged Antineoplastic Agents Bacteremia Female Fungemia Humans Machine Learning Male Middle Aged Neoplasms Neural Networks, Computer Retrospective Studies

View on PubMed Access via DOI PubMed (40382858)