Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24285, first published .
Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Yuanyuan Peng   1 * , BSc ;   Xinjian Chen   2 * , MBBS ;   Yibiao Rong   3 , PhD ;   Chi Pui Pang   2, 4 , DPhil ;   Xinjian Chen   1 , PhD ;   Haoyu Chen   2 , MD

1 School of Electronics and Information Engineering, Soochow University, Suzhou, China

2 Joint Shantou International Eye Center, Shantou University & the Chinese University of Hong Kong, Shantou, China

3 College of Engineering, Shantou University, Shantou, China

4 Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

*these authors contributed equally

Corresponding Author:

  • Haoyu Chen, MD
  • Joint Shantou International Eye Center
  • Shantou University & the Chinese University of Hong Kong
  • Joint Shantou International Eye Center
  • North Dongxia Road
  • Shantou, 515041
  • China
  • Phone: 86 075488393560
  • Email: drchenhaoyu@gmail.com