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: 2715
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DOI: 10.5455/jjcit.71-1640174252
Cited by: 2

Abstract

HYBRID FEATURE SELECTION FRAMEWORK FOR SENTIMENT ANALYSIS ON LARGE CORPORA

(Received: 5-Jan.-2021, Revised: 22-Feb.-2021 , Accepted: 17-Mar.-2021)

*Kayode S. Adewole,Abdullateef O. Balogun,Muiz O. Raheem,Muhammed K. Jimoh,Rasheed G. Jimoh,Modinat A. Mabayoje,Fatima E. Usman-Hamza,Abimbola G. Akintola,Ayisat W. Asaju-Gbolagade

#Sentiment analysis #Opinion mining #Hybrid feature selection #Boruta #Recursive feature elimination