Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review

C Comito, C Pizzuti - Artificial intelligence in medicine, 2022 - Elsevier
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …

[HTML][HTML] Associations between the COVID-19 pandemic and hospital infrastructure adaptation and planning—a scoping review

C Ndayishimiye, C Sowada, P Dyjach… - International journal of …, 2022 - mdpi.com
The SARS-CoV-2 pandemic has put unprecedented pressure on the hospital sector around
the world. It has shown the importance of preparing and planning in the future for an …

Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology

G Jiang, J Wu, J Weidhaas, X Li, Y Chen, J Mueller, J Li… - Water research, 2022 - Elsevier
As a cost-effective and objective population-wide surveillance tool, wastewater-based
epidemiology (WBE) has been widely implemented worldwide to monitor the severe acute …

Genetic prediction of ICU hospitalization and mortality in COVID‐19 patients using artificial neural networks

PG Asteris, E Gavriilaki… - Journal of cellular …, 2022 - Wiley Online Library
There is an unmet need of models for early prediction of morbidity and mortality of
Coronavirus disease‐19 (COVID‐19). We aimed to a) identify complement‐related genetic …

Forecasting COVID-19 recovered cases with Artificial Neural Networks to enable designing an effective blood supply chain

E Ayyildiz, M Erdogan, A Taskin - Computers in Biology and Medicine, 2021 - Elsevier
This study introduces a forecasting model to help design an effective blood supply chain
mechanism for tackling the COVID-19 pandemic. In doing so, first, the number of people …

[HTML][HTML] A comprehensive and integrated hospital decision support system for efficient and effective healthcare services delivery using discrete event simulation

M Ordu, E Demir, C Tofallis, MM Gunal - Healthcare Analytics, 2023 - Elsevier
The difficulty that hospital management has been experiencing over the past decade in
balancing demand and capacity needs is unprecedented in the United Kingdom. Due to a …

[HTML][HTML] Trends and hot topics in radiology, nuclear medicine and medical imaging from 2011–2021: a bibliometric analysis of highly cited papers

S Yan, H Zhang, J Wang - Japanese Journal of Radiology, 2022 - Springer
Purpose To spotlight the trends and hot topics looming from the highly cited papers in the
subject category of Radiology, Nuclear Medicine & Medical Imaging with bibliometric …

[HTML][HTML] Forecasting ward-level bed requirements to aid pandemic resource planning: Lessons learned and future directions

MR Johnson, H Naik, WS Chan, J Greiner… - Health Care …, 2023 - Springer
During the COVID-19 pandemic, there has been considerable research on how regional
and country-level forecasting can be used to anticipate required hospital resources. We add …

[HTML][HTML] Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks

JM Zamarreño, AF Torres-Franco, J Gonçalves… - Science of The Total …, 2024 - Elsevier
Global efforts in vaccination have led to a decrease in COVID-19 mortality but a high
circulation of SARS-CoV-2 is still observed in several countries, resulting in some cases of …

Decision-making algorithm and predictive model to assess the impact of infectious disease epidemics on the healthcare system: the COVID-19 case study in Italy

A Damone, M Vainieri, MR Brunetto… - IEEE journal of …, 2022 - ieeexplore.ieee.org
To improve decision-making strategies and prediction based on epidemiological data, so far
biased by highly-variable criteria, algorithms using unbiased morbidity parameters, ie …