Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset - Muhammad, L. J.; Algehyne, Ebrahem A.; Usman, Sani Sharif; Ahmad, Abdulkadir; Chakraborty, Chinmay; Mohammed, I. A. (SN computer science, 2021)
Keywords: Accuracy; Advances in Computational Approaches for Artificial Intelligence; Agents (artificial intelligence); Algorithms; Alternatives; Artificial intelligence; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Correlation coefficients; COVID-19; Data analysis; Data mining; Data Structures and Information Theory; Datasets; Decision making; Decision trees; Deep learning; Developing countries; Disease transmission; Epidemiology; Health care; Image Processing, IoT and Cloud Applications; Infections; Information Systems and Communication Service; LDCs; Machine learning; Neural networks; Original Research; Pandemics; Pattern Recognition and Graphics; Performance evaluation; Public health; Regression analysis; Respiratory diseases; Severe acute respiratory syndrome coronavirus 2; Signs and symptoms; Software Engineering/Programming and Operating Systems; Supervised learning; Support vector machines; System effectiveness; Viral diseases; Vision; China; COVID-19; Pandemic; Decision tree; Dataset; Machine learning