Predictors for extubation failure in COVID-19 patients using a machine learning approach
기계 학습 접근 방식을 사용하는 COVID-19 환자의 발관 실패 예측자
Multicenter Study
[키워드] Analysis
approach
body mass index
C-reactive protein
calculate
Characteristics
clinical observations
COVID patient
COVID-19 patient
Critically ill
Critically ill patient
cutoff value
data extraction
death
demographics
Determining
Electronic health records
eligible
extubation
Extubation failure
fraction
Glasgow coma scale
granular
identify
include
inflammatory parameters
intensive care
intubated patient
Laboratory
less
leukocyte
machine learning algorithm
median
medications
mortality rate
multicenter
neurological
oxygen
Patient
patients
performed
Physicians
Potential
prediction
predictor
predictors
Probability
Result
Risk factors
secondary outcome
selected
supplementary material
Support
thrombocyte
ventilatory
vital signs
Volume
warehouse
was used
were excluded
with COVID-19
[DOI] 10.1186/s13054-021-03864-3 PMC 바로가기 [Article Type] Multicenter Study
[DOI] 10.1186/s13054-021-03864-3 PMC 바로가기 [Article Type] Multicenter Study