A systematic review of machine learning and deep learning methods for COVID-19 diagnosis, prognosis, and outbreak forecasting Article

Jodayree, Mahdee, Ghafi, Arman Kavoosi, Khodadadi, Issa et al. (2026). A systematic review of machine learning and deep learning methods for COVID-19 diagnosis, prognosis, and outbreak forecasting . Applied Network Science, 10.1007/s41109-026-00836-w

cited authors

  • Jodayree, Mahdee; Ghafi, Arman Kavoosi; Khodadadi, Issa; Jahanshahi, Javad Afshar; Tofangdarzade, Aidin; Pirkhedri, Ali

authors

publication date

  • October 1, 2026

published in

keywords

  • 46 Information and Computing Sciences
  • 4608 Human-Centred Computing
  • Bioengineering
  • Biomedical Imaging
  • Coronaviruses
  • Data Science
  • Emerging Infectious Diseases
  • Infectious Diseases
  • Machine Learning and Artificial Intelligence
  • Networking and Information Technology R&D (NITRD)
  • Patient Safety
  • Prevention

Digital Object Identifier (DOI)

publisher

  • Springer Nature