Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning
Technical Advance
[키워드] Accuracy
addressed
Biomarker
blood sample
caused
clinician
Complication
coronavirus disease
COVID-19
COVID-19 disease
COVID-19 epidemic
COVID-19 patient
COVID-19 progression
COVID-19 stage
dataset
death
deep learning
Deep Learning Method
disease
Disease progression
Dyspnea
early stage
effective
Fever
Health
help
high accuracy
identifying
infected patients
Infection
Injury
Irregularly sampled time series
LDH
liver function injury
lymph
Medical resources
memory
mortality risks
MOST
myocardial injury
outcome
Outcome early prediction
pandemic
Patient
predicted
progression
renal function
researcher
resource
Result
Stage
stages
Symptom
the disease
the patient
time intervals
Time-aware long short-term memory
treat
Treatment
Wuhan, China
[DOI] 10.1186/s12911-020-01359-9 PMC 바로가기 [Article Type] Technical Advance
[DOI] 10.1186/s12911-020-01359-9 PMC 바로가기 [Article Type] Technical Advance