Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at, first published .
Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review


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Books/Policy Documents

  1. Gussain R, Kumar N, Sharma M, Dehraj P. Inventive Computation and Information Technologies. View
  2. Jaulip V, Alfred R. Proceedings of the 8th International Conference on Computational Science and Technology. View
  3. Mitra S, Arockiam P, Kulandai J, Costa M, Notts R. Lessons from COVID-19. View
  4. Klaudel B, Obuchowski A, Dąbrowska M, Sałaga-Zaleska K, Kowalczuk Z. Intelligent and Safe Computer Systems in Control and Diagnostics. View
  5. Lefèvre T, Colineaux H, Morgand C, Tournois L, Delpierre C. Artificial Intelligence in Covid-19. View
  6. Dinacci M, Chen T, Mahmud M, Parkinson S. Artificial Intelligence in Healthcare. View
  7. Chang V, Ali M, Hossain A. Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19. View
  8. Sgroi G, Parasiliti Palumbo G, Di Salvatore V, Russo G, Pappalardo F. Bioengineering and Biomedical Signal and Image Processing. View
  9. Yu F. Clinical Informatics Study Guide. View
  10. Navarro A, Hernández L, Elouali A, Mora H, Signes-Pont M. Research and Innovation Forum 2022. View
  11. Nandi A, Yadav S, Hobisyashi A, Ghosh A, Mishra S, Chaudhary V. International Conference on Innovative Computing and Communications. View
  12. Manimaran A, Goundar S, Chandramohan D, Arulkumar N. Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations. View