An innovative patient clustering method using data envelopment Analysis–Discriminant analysis and artificial neural networks: A case study in healthcare systems-Reference-Cited by-同舟云学术

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An innovative patient clustering method using data envelopment Analysis–Discriminant analysis and artificial neural networks: A case study in healthcare systems

Published:2024-10 Issue: Volume:95 Page:102054
ISSN:0038-0121
Container-title:Socio-Economic Planning Sciences
language:en
Short-container-title:Socio-Economic Planning Sciences

Author:

Yousefi Saeed,Saen Reza Farzipoor^ORCID,Shabanpour Hadi^ORCID,Ghods Kian^ORCID

Publisher

Elsevier BV

Reference48 articles.

1. The benefits of lessons learned: the COVID-19 experience in the Canadian province of Alberta;Bone;J Bus Continuity Emerg Plan,2021

2. Flexibility during the COVID-19 pandemic response: healthcare facility assessment tools for resilient evaluation;Brambilla;Int J Environ Res Publ Health,2021

3. Resiliency of the Iranian healthcare facilities against the Covid-19 pandemic: challenges and solutions;Ezzati;BMC Health Serv Res,2023

4. Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis;Azadi;J Bus Res,2023

5. Clinical features and treatment of COVID-19 patients in northeast Chongqing;Wan;J Med Virol,2020

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