Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …
decision support for policy makers. However, COVID-19 modelling efforts faced many …
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 …
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning …
Balances in the energy sector have changed since the implementation of the Covid-19
pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity …
pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity …
A comparison of machine learning algorithms in predicting COVID-19 prognostics
ML algorithms are used to develop prognostic and diagnostic models and so to support
clinical decision-making. This study uses eight supervised ML algorithms to predict the need …
clinical decision-making. This study uses eight supervised ML algorithms to predict the need …
PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning
A Gupta, R Katarya - Computers in biology and medicine, 2021 - Elsevier
The recent outbreak of novel Coronavirus disease or COVID-19 is declared a pandemic by
the World Health Organization (WHO). The availability of social media platforms has played …
the World Health Organization (WHO). The availability of social media platforms has played …
Real-time forecasting of COVID-19 spread according to protective behavior and vaccination: autoregressive integrated moving average models
C Cheng, WM Jiang, B Fan, YC Cheng, YT Hsu… - BMC public health, 2023 - Springer
Background Mathematical and statistical models are used to predict trends in epidemic
spread and determine the effectiveness of control measures. Automatic regressive …
spread and determine the effectiveness of control measures. Automatic regressive …
[HTML][HTML] Global, regional, and national mortality of tuberculosis attributable to alcohol and tobacco from 1990 to 2019: A modelling study based on the Global Burden …
W **yi, Y Zhang, K Wang, P Peng - Journal of Global Health, 2024 - ncbi.nlm.nih.gov
Background Tuberculosis (TB) is expected to become the second leading single cause of
death with several risk factors, but the related disease burden is currently unknown. We …
death with several risk factors, but the related disease burden is currently unknown. We …
Application of artificial intelligence and big data for fighting COVID-19 pandemic
Abstract The coronavirus (COVID-19) pandemic is playing sensitive havoc in socio-
communal systems, humanity and creates economic crises worldwide. Many strategies have …
communal systems, humanity and creates economic crises worldwide. Many strategies have …
Forecasting covid-19 pandemic using prophet, lstm, hybrid gru-lstm, cnn-lstm, bi-lstm and stacked-lstm for india
The COVID-19 Pandemic has been around for four years and remains a health concern for
everyone. Although things are somewhat returning to normal, increased incidence of COVID …
everyone. Although things are somewhat returning to normal, increased incidence of COVID …