Diagnosis of COVID-19 through blood sample using ensemble genetic algorithms and machine learning classifier

• Published in: World journal of engineering Vol. 19; no. 2; pp. 175 - 182
• Main Authors: Doewes, Rumi Iqbal, Nair, Rajit, Sharma, Tripti
• Format: Journal Article
• Language: English
• Published: Brentwood Emerald Publishing Limited 15.03.2022; Emerald Group Publishing Limited
• Subjects: Accuracy; Ant colony optimization; Blood; Blood tests; Coronaviruses; COVID-19; Dehydrogenases; Disease; Genetic algorithms; Hospitals; Low income groups; Machine learning; Medical imaging; Medical research; Pandemics; Parameter sensitivity; Performance evaluation; Programming languages; Radiation; Recovery (Medical); Reduction; Sensitivity; Severe acute respiratory syndrome coronavirus 2; Ant colony optimization; Feature selection; SARS-CoV-2; Random forest; Relief

Purpose This purpose of this study is to perfrom the analysis of COVID-19 with the help of blood samples. The blood samples used in the study consist of more than 100 features. So to process high dimensional data, feature reduction has been performed by using the genetic algorithm. Design/methodolog...