Predictive classification of covid-19: Assessing the impact of digital technologies
The recent severe outbreak of the disease has been linked to the COVID-19 virus. It is
essential for healthcare professionals and individuals with the capacity to provide intensive …
essential for healthcare professionals and individuals with the capacity to provide intensive …
Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvement
E Hwang - Chaos, Solitons & Fractals, 2022 - Elsevier
This paper is devoted to modeling and predicting COVID-19 confirmed cases through a
multiple linear regression. Especially, prediction intervals of the COVID-19 cases are …
multiple linear regression. Especially, prediction intervals of the COVID-19 cases are …
Covid19 prediction using time series analysis
A Jain, T Sukhdeve, H Gadia, SP Sahu… - … conference on artificial …, 2021 - ieeexplore.ieee.org
The ongoing COVID19 pandemic has created havoc all over the world. Millions of lives have
been gone and thousands are vulnerable. It has also affected the world economy due to …
been gone and thousands are vulnerable. It has also affected the world economy due to …
[HTML][HTML] Modeling and forecasting the COVID-19 pandemic with heterogeneous autoregression approaches: South Korea
E Hwang, SM Yu - Results in Physics, 2021 - Elsevier
This paper deals with time series analysis for COVID-19 in South Korea. We adopt
heterogeneous autoregressive (HAR) time series models and discuss the statistical …
heterogeneous autoregressive (HAR) time series models and discuss the statistical …
Predicting the number of new cases of COVID-19 in India using Survival Analysis and LSTM
COVID-19 has been the cause of death for thousands of people across the globe. The goal
of this paper is to forecast the new COVID-19 cases in India. The other methods used to …
of this paper is to forecast the new COVID-19 cases in India. The other methods used to …
Evaluation of hybrid unsupervised and supervised machine learning approach to detect self-reporting of COVID-19 symptoms on Twitter
With over 127 million cases globally, the COVID-19 pandemic marks a sentinel event in
global health. However, true case estimations have been elusive due to lack of testing and …
global health. However, true case estimations have been elusive due to lack of testing and …
Nonstationary time series forecasting using optimized-EVDHM-ARIMA for COVID-19
The Coronavirus (COVID-19) outbreak swept the world, infected millions of people, and
caused many deaths. Multiple COVID-19 variations have been discovered since the initial …
caused many deaths. Multiple COVID-19 variations have been discovered since the initial …
Forecasting of COVID-19 cases in India using machine learning: a critical analysis
SS Nagvanshi, I Kaur - Proceedings of Third Doctoral Symposium on …, 2022 - Springer
COVID-19 is an infectious disease that has spread over the world since the first case was
discovered in China in December 2019. Multiple variants of COVID-19 have been …
discovered in China in December 2019. Multiple variants of COVID-19 have been …
Ensemble Model to Forecast the End of the COVID-19 Pandemic
S Shwetha, P Sunagar, S Rajarajeswari… - Proceedings of Third …, 2022 - Springer
Abstract The coronavirus disease 2019 (Covid-19) epidemic has caused a worldwide health
catastrophe that has had a profound influence on how we see our planet and our daily lives …
catastrophe that has had a profound influence on how we see our planet and our daily lives …
An empirical mode decomposition fuzzy forecast model for COVID-19
BL Chen, YY Shen, GC Zhu, YT Yu, M Ji - Neural Processing Letters, 2023 - Springer
Abstract At present, the Corona Virus Disease 2019 (COVID-19) is ravaging the world,
bringing great impact on people's life safety and health as well as the healthy development …
bringing great impact on people's life safety and health as well as the healthy development …