Early prediction of level-of-care requirements in patients with COVID-19
Research Article
[키워드] Accuracy
Admission
age
applied
artificial intelligence
being
benefit
BMI
breath
caused
Characteristics
Chest
chest imaging
Clinical symptoms
Comorbidity
complex
COVID-19
COVID-19 disease
COVID-19 patient
Critical care
diabete
diabetes
difficulty breathing
disease
Dyspnea
examined
Factor
FIVE
form
Gender
help
hospital
Hospitalization
Hospitalized
hospitals
Human
ICU
ICU admission
ICU care
identify
individual
intensive care treatment
intensive care unit
laboratory data
laboratory result
Laboratory results
machine learning
male
Massachusett
mechanical ventilation
mild symptoms
MOST
New coronavirus
no symptom
obesity
opacity
oxygen deprivation
pandemic
Patient
patients with COVID-19
people with COVID-19
physician
Pneumonia
predict
predicted
Predictive model
predictor
risk factor
risk prediction
SARS-CoV-2
severe disease
severe inflammation
Severity Score
severity scores
Symptoms
the disease
the patient
tissue
tissue damage
Treatment
underlying disease
vaccination
Vaccine
Ventilation
Vital
vital sign
vital signs
[DOI] 10.7554/eLife.60519 PMC 바로가기 [Article Type] Research Article
[DOI] 10.7554/eLife.60519 PMC 바로가기 [Article Type] Research Article