Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset

COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than 651,247 people around world having lost their lives after contracting the disease. Currently, there is no specific treatment or cure for COVID-19, and thus living with the disease and its symptoms is inevitable. This real...

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Veröffentlicht in:	SN computer science 2021-02, Vol.2 (1), p.11-11, Article 11
Hauptverfasser:	Muhammad, L. J., Algehyne, Ebrahem A., Usman, Sani Sharif, Ahmad, Abdulkadir, Chakraborty, Chinmay, Mohammed, I. A.
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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