@article{1436408,
      note = {Includes index.},
      author = {Kautish, Sandeep, and Peng, Sheng-Lung. and Obaid, Ahmed  J.},
      url = {http://library.usi.edu/record/1436408},
      title = {Computational intelligence techniques for combating  COVID-19 /},
      publisher = {Springer,},
      abstract = {This book presents the latest cutting edge research,  theoretical methods, and novel applications in the field of  computational intelligence and computational biological  approaches that are aiming to combat COVID-19. The book  gives the technological key drivers behind using AI to find  drugs that target the virus, shedding light on the  structure of COVID-19, detecting the outbreak and spread of  new diseases, spotting signs of a COVID-19 infection in  medical images, monitoring how the virus and lockdown is  affecting mental health, and forecasting how COVID-19 cases  and deaths will spread across cities and why. Further, the  book helps readers understand computational intelligence  techniques combating COVID-19 in a simple and systematic  way. Provides a comprehensive reference covering  innovations and development of theories, conceptual models  and computational algorithms focused on COVID-19; Asserts  all relevant research, key themes, complex adaptive  systems, metrics and paradigms dedicated towards COVID-19,  enabled with evolutionary methods of computational  sciences; Explores how AI and computational techniques can  help to predict which patients with the virus would go on  to develop Acute Respiratory Distress Syndrome (ARDS).},
      doi = {https://doi.org/10.1007/978-3-030-68936-0},
      recid = {1436408},
      pages = {1 online resource (392 pages)},
      address = {Cham :},
      year = {2021},
}