A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values. (arXiv:2205.09974v1 [cs.LG])

Since February-2020, the world has embarked on an intense struggle with the
COVID-19 disease, and health systems have come under a tragic pressure as the
disease turned into a pandemic. The aim of this study is to determine the most
effective routine-blood-values (RBV) in the diagnosis/prognosis of COVID-19
using new feature selection method for LogNNet reservoir neural network. First
dataset in this study consists of a total of 5296-patients with a same number
of negative and positive covid test. Second …

application arxiv covid covid-19 diagnosis disease feature feature selection values