Predicting the incidence of COVID-19 using data mining.

Published in: BMC public health (2021)

Using data from different geographical regions within a country and discovering the pattern of prevalence in a region and its neighboring areas, our boosting-based model was able to accurately predict the incidence of COVID-19 within a two-week period.

Keyphrases

coronavirus disease
risk factors
sars cov
electronic health record
big data
respiratory syndrome coronavirus
clinical trial
randomized controlled trial
data analysis