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 based on high-level machine learning.

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

Aghemo, Alessio;Stefanini, Giulio G;Lleo, Ana;Voza, Antonio;
2022

Abstract

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 based on high-level machine learning.
SARS
interleukin-6
pneumonia
troponin
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/70160
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