[HTML][HTML] Comparing the accuracy of several network-based COVID-19 prediction algorithms
Researchers from various scientific disciplines have attempted to forecast the spread of the
Coronavirus Disease 2019 (COVID-19). The proposed epidemic prediction methods range …
Coronavirus Disease 2019 (COVID-19). The proposed epidemic prediction methods range …
Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei
At the moment of writing, the future evolution of the COVID-19 epidemic is unclear.
Predictions of the further course of the epidemic are decisive to deploy targeted disease …
Predictions of the further course of the epidemic are decisive to deploy targeted disease …
Forecasting models for coronavirus disease (COVID-19): a survey of the state-of-the-art
COVID-19 is a pandemic that has affected over 170 countries around the world. The number
of infected and deceased patients has been increasing at an alarming rate in almost all the …
of infected and deceased patients has been increasing at an alarming rate in almost all the …
Modified machine learning Techique for curve fitting on regression models for COVID-19 projections
A Andreas, CX Mavromoustakis… - 2020 IEEE 25th …, 2020 - ieeexplore.ieee.org
COrona VIrus Disease 2019 (COVID-19) is a disease caused by Severe Acute Respiratory
Syndrome Corona Virus 2 (SARS-CoV-2) and was first diagnosed in China in December …
Syndrome Corona Virus 2 (SARS-CoV-2) and was first diagnosed in China in December …
A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models
This study aims to develop an assumption-free data-driven model to accurately forecast
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review
J Musulin, S Baressi Šegota, D Štifanić… - International journal of …, 2021 - mdpi.com
COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
Artificial intelligence forecasting of covid-19 in china
BACKGROUND An alternative to epidemiological models for transmission dynamics of
Covid-19 in China, we propose the artificial intelligence (AI)-inspired methods for real-time …
Covid-19 in China, we propose the artificial intelligence (AI)-inspired methods for real-time …
An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China
We develop a health informatics toolbox that enables timely analysis and evaluation of the
time-course dynamics of a range of infectious disease epidemics. As a case study, we …
time-course dynamics of a range of infectious disease epidemics. As a case study, we …
Forecasting the spread of COVID-19 using LSTM network
Background The novel coronavirus (COVID-19) is caused by severe acute respiratory
syndrome coronavirus 2, and within a few months, it has become a global pandemic. This …
syndrome coronavirus 2, and within a few months, it has become a global pandemic. This …
Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management
The COVID-19 pandemic has caused a global crisis with 47,209,305 confirmed cases and
1,209,505 confirmed deaths worldwide as of November 2, 2020. Forecasting confirmed …
1,209,505 confirmed deaths worldwide as of November 2, 2020. Forecasting confirmed …