Short-term local predictions of COVID-19 in the United Kingdom using dynamic supervised machine learning algorithms.

Xin WangYijia DongWilliam David ThompsonHarish Nair You Li

Published in: Communications medicine (2022)

With flexible data-driven predictors selection process, our dynamic modelling framework shows promises in predicting short-term changes in COVID-19 cases. The online application (COVIDPredLTLA) could assist decision-making for control measures and planning of healthcare capacity in future epidemic growths.

Keyphrases

machine learning
coronavirus disease
sars cov
healthcare
decision making
artificial intelligence
big data
deep learning
health information
respiratory syndrome coronavirus
social media