Application of Machine Learning to Predict COVID-19 Spread via an Optimized BPSO Model

Application of Machine Learning to Predict COVID-19 Spread via an Optimized BPSO Model

During the pandemic of the coronavirus disease (COVID-19), statistics showed that the number of affected cases differed from one country to another and also from one city to another. Therefore, in this paper, we provide an enhanced model for predicting COVID-19 samples in different regions of Saudi...

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Bibliographic Details
Main Authors: Eman H. Alkhammash, Sara Ahmad Assiri, Dalal M. Nemenqani, Raad M. M. Althaqafi, Myriam Hadjouni, Faisal Saeed, Ahmed M. Elshewey
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Biomimetics
Subjects:
k-nearest neighbor
binary particle swarm optimization
random oversampling
random forest model
gradient boosting model
naive Bayes model
Online Access:https://www.mdpi.com/2313-7673/8/6/457

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https://www.mdpi.com/2313-7673/8/6/457

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