Forecasting and classification of new cases of COVID 19 before vaccination using decision trees and Gaussian mixture model-Reference-Cited by-同舟云学术

Forecasting and classification of new cases of COVID 19 before vaccination using decision trees and Gaussian mixture model

Published:2023-01 Issue: Volume:62 Page:327-333
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Hamdi Monia,Hilali-Jaghdam Inès,Elnaim Bushra Elamin,Elhag Azhari A.

Funder

Princess Nourah Bint Abdulrahman University

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

1. Elhag et al, Artificial neural networks and statistical models for optimization studying COVID-19;Elhag;Results Phys.,2021

2. Machine learned hybrid Gaussian analysis of COVID-19 pandemic in India;Bhardwaj;Results Phys.,2021

3. Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy;Perone;Eur. J. Health Econ.,2021

4. Forecasting COVID-19 confirmed cases, deaths, and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy;Gecili;PloS One,2021

5. Empirical Evaluation of Alternative Time-Series Models for COVID-19 Forecasting in Saudi Arabia;Al-Turaiki;Int. J. Environ. Res. Public Health,2021

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