Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review

作者：

Highlights：

• This is the first survey focusing on the very specific topic of COVID-19 forecasting through AI techniques.

• Extensive background of AI methods is provided, which can help non-expert to better catch the underlying concepts.

• For each work surveyed, are detailed the method used, the data analyzed, the validation approach the results achieved.

• The main limitations of current approaches are reported, including interpretability and learning from limited labeled data.

摘要

•This is the first survey focusing on the very specific topic of COVID-19 forecasting through AI techniques.•Extensive background of AI methods is provided, which can help non-expert to better catch the underlying concepts.•For each work surveyed, are detailed the method used, the data analyzed, the validation approach the results achieved.•The main limitations of current approaches are reported, including interpretability and learning from limited labeled data.

论文关键词：COVID-19,Artificial intelligence,Machine learning,Deep learning,Forecasting,Diagnosing

论文评审过程：Received 24 July 2021, Revised 16 March 2022, Accepted 21 March 2022, Available online 28 March 2022, Version of Record 6 April 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102286