Preliminary Attempt to Predict Risk of Invasive Pulmonary Aspergillosis in Patients with Influenza: Decision Trees May Help?

Preliminary Attempt to Predict Risk of Invasive Pulmonary Aspergillosis in Patients with Influenza: Decision Trees May Help?

Invasive pulmonary aspergillosis (IPA) is typically considered a disease of immunocompromised patients, but, recently, many cases have been reported in patients without typical risk factors. The aim of our study is to develop a risk predictive model for IPA through machine learning techniques (decis...

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Bibliographic Details
Main Authors: Valeria Bellelli, Guido Siccardi, Livia Conte, Luigi Celani, Elena Congeduti, Cristian Borrazzo, Letizia Santinelli, Giuseppe Pietro Innocenti, Claudia Pinacchio, Giancarlo Ceccarelli, Mario Venditti, Gabriella d’Ettorre
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Antibiotics
Subjects:
invasive pulmonary aspergillosis
influenza
machine learning
decision trees
Italy
EORTC/MSG
Online Access:https://www.mdpi.com/2079-6382/9/10/644

Internet

https://www.mdpi.com/2079-6382/9/10/644

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