COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm
Public Health
[키워드] Accuracy
AdaBoost
agency
Algorithm
boosting
China
Community
confirmed case
Control
Coronavirus disease 2019
COVID-19
COVID-19 patient
Data analysis
dataset
death
deaths
demographic data
detect
Effect
European
forest
Gender
Health
healthcare analytics
Healthcare system
indicate
Infection
integration
majority
outcome
pandemic
Pandemics
Patient
patient data
positive correlation
predict
prediction
prevention
random forest classification
recorded
reveal
score
severity
Travel
Treatment
Wuhan
[DOI] 10.3389/fpubh.2020.00357 PMC 바로가기 [Article Type] Public Health
[DOI] 10.3389/fpubh.2020.00357 PMC 바로가기 [Article Type] Public Health