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DEVELOPMENT OF ENSEMBLE MACHINE LEARNING MODEL TO IMPROVE COVID-19 OUTBREAK FORECASTING

(Received: 22-Dec.-2021, Revised: 27-Feb.-2022 , Accepted: 25 -Mar.-2022 )
Meaad Alrehaili,Fatmah Assiri
#COVID-19 #Coronavirus disease #Coronavirus #Pandemic #Epidemic prediction #Future forecasting #Machine learning #Ensemble machine learning algorithms #Naive Bayes #Support vector machine #Random forest #Gradient boosting
  • Views: 3130
  • Downloads: 783
  • DOI: 10.5455/jjcit.71-1640174252
  • Cited by: 2
Abstract

HYBRIDIZATION OF ARITHMETIC OPTIMIZATION WITH GREAT DELUGE ALGORITHMS FOR FEATURE SELECTION PROBLEMS IN MEDICAL DIAGNOSIS

(Received: 13-Dec.-2021, Revised: 24-Jan.-2022 , Accepted: 13-Feb.-2022)
Mohammed Alweshah
#Medical diagnosis #Feature selection #Arithmetic optimization algorithm #Great deluge algorithm
  • Views: 3140
  • Downloads: 737
  • DOI: 10.5455/jjcit.71-1639410312
  • Cited by: 6
Abstract
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