Multivariable Risk Modelling and Survival Analysis with Machine Learning in SARS-CoV-2 Infection.

Andrea CiarmielloFrancesca TutinoElisabetta GiovanniniAmalia MilanoMatteo BarattiniNikola YosifovDebora CalviMaurizo SettiMassimiliano SivoriCinzia SaniAndrea BastreriRaffaele StaffiereTeseo StefaniniStefania ArtioliGiampiero Giovacchini

Published in: Journal of clinical medicine (2023)

A machine learning model based on combined data available on the first days of hospitalization (demographics, CT-radiomics, comorbidities, and blood biomarkers), can identify SARS-CoV-2 patients at risk of serious illness and death.

Keyphrases

machine learning
sars cov
big data
respiratory syndrome coronavirus
artificial intelligence
contrast enhanced
computed tomography
electronic health record
deep learning
image quality
lymph node metastasis
magnetic resonance imaging
positron emission tomography
dual energy
magnetic resonance
free survival