Development and Validation of a Machine Learning Model for the Prediction of Bloodstream Infections in Patients with Hematological Malignancies and Febrile Neutropenia

<b>Background/Objectives:</b> The rise of multidrug-resistant (MDR) infections demands personalized antibiotic strategies for febrile neutropenia (FN) in hematological malignancies. This study investigates machine learning (ML) for identifying patient profiles with increased susceptibility to bloods...

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Principais autores:	Antonio Gallardo-Pizarro, Christian Teijón-Lumbreras, Patricia Monzo-Gallo, Tommaso Francesco Aiello, Mariana Chumbita, Olivier Peyrony, Emmanuelle Gras, Cristina Pitart, Josep Mensa, Jordi Esteve, Alex Soriano, Carolina Garcia-Vidal
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-12-01
Series:	Antibiotics
Assuntos:	febrile neutropenia bloodstream infections hematological malignancies machine learning KAMILA
Acceso en liña:	https://www.mdpi.com/2079-6382/14/1/13
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