Diagnosis and prognosis of covid-19 disease using routine blood values and lognnet neural network

HIGHLIGHTS

• who: Mehmet Tahir Huyut and Andrei Velichko from the Department of Biostatistics and Medical Informatics, Faculty of Medicine, Erzincan Binali Yu0131ldu0131ru0131m University, Erzincan, Turkey have published the paper: Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network, in the Journal: Sensors 2022, 4820 89.355 of /2022/
• what: The aim of this study is to obtain the most effective routine blood values (RBV) in the diagnosis and prognosis of COVID-19 using a backward feature elimination algorithm for the LogNNet reservoir neural network.
• how: The first dataset . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.