An individualized algorithm to predict mortality in COVID-19 pneumonia: a machine learning based study

An individualized algorithm to predict mortality in COVID-19 pneumonia: a machine learning based study

Introduction Identifying SARS-CoV-2 patients at higher risk of mortality is crucial in the management of a pandemic. Artificial intelligence techniques allow one to analyze large amounts of data to find hidden patterns. We aimed to develop and validate a mortality score at admission for COVID-19 bas...

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Bibliographic Details
Main Authors: Maria Elena Laino, Elena Generali, Tobia Tommasini, Giovanni Angelotti, Alessio Aghemo, Antonio Desai, Pierandrea Morandini, Giulio G. Stefanini, Ana Lleo, Antonio Voza, Victor Savevski
Format: Article
Language:English
Published: Termedia Publishing House 2022-01-01
Series:Archives of Medical Science
Subjects:
interleukin-6
pneumonia
troponin
sars
Online Access:https://www.archivesofmedicalscience.com/An-individualized-algorithm-to-predict-mortality-in-COVID-19-pneumonia-a-machine,144980,0,2.html

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https://www.archivesofmedicalscience.com/An-individualized-algorithm-to-predict-mortality-in-COVID-19-pneumonia-a-machine,144980,0,2.html

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