Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review

I Ali, D Kannan - Annals of Operations Research, 2022 - Springer
The literature on healthcare operations and supply chain management has seen
unprecedented growth over the past two decades. This paper seeks to advance the body of …

Application of decision making and fuzzy sets theory to evaluate the healthcare and medical problems: a review of three decades of research with recent …

A Mardani, RE Hooker, S Ozkul, S Yifan… - Expert Systems with …, 2019 - Elsevier
Decision making techniques have been widely used in healthcare and medical industry.
This study systematically reviews the conventional and fuzzy decision-making techniques …

New intuitionistic fuzzy parametric divergence measures and score function-based CoCoSo method for decision-making problems

DK Tripathi, SK Nigam, P Rani… - … Making: Applications in …, 2023 - dmame-journal.org
The present study introduces a decision-making approach with the combined compromise
solution (CoCoSo) under intuitionistic fuzzy sets (IFSs) named as the IF-CoCoSo method …

Application of fuzzy TOPSIS for prioritization of patients on elective surgeries waiting list-A novel multi-criteria decision-making approach

H Rana, M Umer, U Hassan, U Asgher… - … in Management and …, 2023 - dmame-journal.org
Prioritizing patients is a growing concern in healthcare. Once resources are limited,
prioritization is considered an effective and viable solution in provision of healthcare …

Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis

M Johnson, A Albizri, S Simsek - Annals of Operations Research, 2022 - Springer
Artificial Intelligence (AI) is critical for data-driven decision making to increase resource
utilization, operational performance, and service quality in various industry domains …

A supervised case-based reasoning approach for explainable thyroid nodule diagnosis

C Xu, W Liu, Y Chen, X Ding - Knowledge-Based Systems, 2022 - Elsevier
As an explainable experience-based artificial intelligence technique, case-based reasoning
(CBR) has been widely used to help diagnose many diseases, but the application of CBR in …

Pain treatment evaluation in COVID‐19 patients with hesitant fuzzy linguistic multicriteria decision‐making

GD Batur Sir, E Sir - Journal of Healthcare Engineering, 2021 - Wiley Online Library
The coronavirus disease 2019 (COVID‐19) has emerged as a worldwide pandemic since
March 2020. Although most patients complain of moderate or severe pain, these symptoms …

Extending artificial intelligence research in the clinical domain: a theoretical perspective

R Sabharwal, SJ Miah, S Fosso Wamba - Annals of Operations Research, 2022 - Springer
Academic research to the utilization of artificial intelligence (AI) has been proliferated over
the past few years. While AI and its subsets are continuously evolving in the fields of …

An optimization route selection method of urban oversize cargo transportation

D Huang, M Han - Applied Sciences, 2021 - mdpi.com
In order to select the optimal transportation route among alternative transportation routes
more accurately and objectively, the choice of urban oversize cargo transportation routes …

Time-varying intuitionistic fuzzy integral for emergency materials demand prediction with case-based reasoning

D Liang, Y Fu, Z Xu - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
Recently, frequent emergencies seriously impact people's life and production. The timely
emergency material can save more people. Hence, emergency material demand prediction …