Early risk assessment for COVID-19 patients from emergency department data using machine learning
Article
[키워드] acute respiratory syndrome
Admission
age
analysed
applied
Blood
caused
characteristic
clinical
Clinical characteristics
Clinical data
clinical endpoint
clinical feature
clinical variable
collected
Computational biology and bioinformatics
coronavirus
COVID-19
COVID-19 patient
creatinine
death
demographic data
Deterioration
Diseases
EHR
EHR data
electronic healthcare record
England
epidemiological
evaluate
extreme
high accuracy
hospital
in-hospital mortality
inclusion criteria
increased risk
Infectious diseases
initial
intensive care
Invasive mechanical ventilation
laboratory result
Laboratory results
Lactate
London
lower risk
machine learning
majority
measure
mechanical ventilation
Medical research
Mild
Mortality
multivariate logistic regression
NHS
outcomes
oxygen supply
oxygenation status
pandemic
Patient
patient age
physiological
poor prognosis
predict
predicted
Predictive
Prognostic markers
random
receiving
reported
required
Retrospective study
risk
risk factor
Risk factors
SARS-CoV-2
SARS-CoV-2 positive patient
selected
severe disease
Trajectories
Translational research
Trust
used data
Ventilation
viral infection
while
[DOI] 10.1038/s41598-021-83784-y PMC 바로가기 [Article Type] Article
[DOI] 10.1038/s41598-021-83784-y PMC 바로가기 [Article Type] Article