A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients

A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients

COVID-19, one of the most dangerous pandemics, is currently affecting humanity. COVID-19 is spreading rapidly due to its high reliability transmissibility. Patients who test positive more often have mild to severe symptoms such as a cough, fever, raw throat, and muscle aches. Diseased people experie...

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Bibliographic Details
Main Authors: Alla Ahmad Hassan, Tarik A Rashid
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2021-12-01
Series:Kurdistan Journal of Applied Research
Subjects:
Particle Swarm Optimization, Neural Networks, Logistic Regression, Nave Bayes Classifier, Multilayer Perceptron, Support Vector Machine, BF Tree, Bayesian Networks.
Online Access:https://kjar.spu.edu.iq/index.php/kjar/article/view/702

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