CORONET;COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer

Rebecca Lee,Oskar Wysocki,Cong Zhou,Antonio Calles,L. Eastlake,Sarju Ganatra,M. Harrison,L. Horsley,P. Huddar,K. Khan,H. McKenzie,Carlo Palmieri,J.R. Revuelta,Anne L. Thomas,C. Wilson,T Cooksley,Caroline Dive,A. Freitas,Anne C Armstrong

CORONET;COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer

2021

Rebecca Lee
Oskar Wysocki
Cong Zhou
Antonio Calles
L. Eastlake
Sarju Ganatra
M. Harrison
L. Horsley
P. Huddar
K. Khan
H. McKenzie
Carlo Palmieri
J.R. Revuelta
Anne L. Thomas
C. Wilson
T Cooksley
Caroline Dive
A. Freitas
Anne C Armstrong

1505Background: Patients (pts) with cancer are at increased risk of severe COVID-19 infection and death. Due to COVID-19 outcome heterogeneity, accurate assessment of pts is crucial. Early identifi...

Keywords:

Medicine
Intensive care medicine
increased risk
in patient
Cancer
2019 20 coronavirus outbreak
Coronavirus disease 2019
severe acute respiratory syndrome coronavirus 2

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