Self-improved COOT optimization-based LSTM for patient waiting time prediction

S Varanasi, K Malathi - Multimedia Tools and Applications, 2024 - Springer
Longer lines and increased demand for medical treatment result from population expansion.
When it comes to major illnesses like cancer, the situation is much awful. Instead of a …

Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: a case study

M Ortiz-Barrios, S Arias-Fonseca, A Ishizaka… - Journal of business …, 2023 - Elsevier
The Covid-19 pandemic has pushed the Intensive Care Units (ICUs) into significant
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …

A Markovian-based fuzzy decision-making approach for the customer-based sustainable-resilient supplier selection problem

M Tavakoli, A Tajally, M Ghanavati-Nejad, F Jolai - Soft Computing, 2023 - Springer
The supplier selection problem is one of the most important issues in supply chain
management. So, many papers have investigated the mentioned problem. However, the …

Exploring the Role of Industry 4.0 and Simulation as a Solution to the COVID-19 Outbreak: a Literature Review

G Mirabelli, L Nicoletti, A Padovano, V Solina… - Procedia Computer …, 2023 - Elsevier
The COVID-19 pandemic was an unexpected and disruptive event that significantly affected
the performance of manufacturing systems and supply chains in various sectors. In this …

[HTML][HTML] Towards reliable forecasting of healthcare capacity needs: A scoping review and evidence mapping

S Grøntved, MJ Kirkeby, SP Johnsen, J Mainz… - International Journal of …, 2024 - Elsevier
Background The COVID-19 pandemic has highlighted the critical importance of robust
healthcare capacity planning and preparedness for emerging crises. However, healthcare …

Performance assessment and improvement of a care unit for COVID-19 patients with resilience engineering and motivational factors: An artificial neural network …

Z Mehdizadeh-Somarin, B Salimi… - Computers in Biology …, 2022 - Elsevier
The global conflict with the new coronavirus disease (COVID-19) has led to frequent visits to
hospitals and medical centers. This significant increase in visits can be severely detrimental …

An enhanced grey wolf optimizer boosted machine learning prediction model for patient-flow prediction

X Zhang, B Lu, L Zhang, Z Pan, M Liao, H Shen… - Computers in Biology …, 2023 - Elsevier
Large and medium-sized general hospitals have adopted artificial intelligence big data
systems to optimize the management of medical resources to improve the quality of hospital …

[HTML][HTML] A simulation model for predicting hospital occupancy for Covid-19 using archetype analysis

E Redondo, V Nicoletta, V Bélanger… - Healthcare …, 2023 - Elsevier
COVID-19 pandemic has sent millions of people to hospitals worldwide, exhausting on
many occasions the capacity of healthcare systems to provide care patients required to …

Sustainable-resilient supplier evaluation for high-consumption drugs during COVID-19 pandemic using a data-driven decision-making approach

Z Sazvar, M Tavakoli, M Ghanavati-Nejad… - Scientia …, 2022 - scientiairanica.sharif.edu
The recent pandemic of COVID-19 has had severe impacts on healthcare services
especially the Food and Drug Administration for providing necessary medications for …

A hybrid data-driven model for project portfolio selection problem based on sustainability and strategic dimensions: a case study of the telecommunication industry

AA ForouzeshNejad - Soft Computing, 2024 - Springer
Project portfolio selection is a multi-criteria decision-making process that is always
accompanied by important decisions with uncertainty. Considering the existence of different …