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

Eman H. Alkhammash, Sara Ahmad Assiri, Dalal M. Nemenqani, Raad M.M. Althaqafi, Myriam Hadjouni*, Faisal Saeed, Ahmed M. Elshewey

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (SciVal)
    Original languageEnglish
    Article number457
    JournalBiomimetics
    Volume8
    Issue number6
    DOIs
    Publication statusPublished (VoR) - 28 Sept 2023

    Funding

    This research was supported by: 1. The deanship of scientific research, Taif University, Taif, Saudi Arabia. 2. Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R193), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. The researchers gratefully acknowledge the deanship of scientific research, Taif University for funding this research and Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R193), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

    FundersFunder number
    Abdulrahman University
    Princess Nourah Bint Abdulrahman UniversityPNURSP2023R193
    Taif University

      Keywords

      • binary particle swarm optimization
      • gradient boosting model
      • k-nearest neighbor
      • naive Bayes model
      • random forest model
      • random oversampling

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