COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA

• Published in: Algorithms Vol. 14; no. 7; p. 201
• Main Authors: Villavicencio, Charlyn Nayve, Macrohon, Julio Jerison Escudero, Inbaraj, Xavier Alphonse, Jeng, Jyh-Horng, Hsieh, Jer-Guang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2021
• Subjects: Accuracy; Algorithms; Cardiovascular disease; classification; Coronaviruses; COVID-19; COVID-19 diagnostic tests; COVID-19 symptoms; Data collection; Data mining; Datasets; Decision trees; Diabetes; Disease transmission; Error correction; health care; Machine learning; Medical research; Mortality; Neural networks; Open source software; Respiratory diseases; Signs and symptoms; Support vector machines; New Zealand; Brazil

Early diagnosis is crucial to prevent the development of a disease that may cause danger to human lives. COVID-19, which is a contagious disease that has mutated into several variants, has become a global pandemic that demands to be diagnosed as soon as possible. With the use of technology, availabl...