Predicting COVID-19 Based on Environmental Factors With Machine Learning
Amjed Basil Abdulkareem, Nor Samsiah Sani, Shahnorbanun Sahran, Zaid Abdi Alkareem Alyessari, Afzan Adam, Abdul Hadi Abd Rahman, Abdulkarem Basil Abdulkarem
Abstract
The coronavirus disease 2019 (COVID-19) has infected more than 50 million people in more than 100 countries, resulting in a major global impact. Many studies on the potential roles of environmental factors in the transmission... | Find, read and cite all the research you need on Tech Science Press
Topics & Concepts
Machine learningArtificial intelligenceComputer scienceConvolutional neural networkClassifier (UML)Feature selectionArtificial neural networkCoronavirus disease 2019 (COVID-19)Wind speedInfectious disease (medical specialty)GeographyMeteorologyMedicinePathologyDiseaseCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsMachine Learning in Healthcare