ArticleComputer methods and programs in biomedicine2021
Evaluation of criteria and COVID-19 patients for intensive care unit admission in the era of pandemic: A multi-criteria decision making approach.
Article in Computer methods and programs in biomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Development of decision support framework to prioritize GHG emission Scope in sub-national inventories.iScience · 2026Article
- An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.Scientific reports · 2025Article
- Chest computed tomography and multi-criteria decision analysis-guided interventions for stroke-associated pneumonia in acute ischemic stroke.Revista da Associacao Medica Brasileira (1992) · 2025Article
- Fuzzy APPSS: A novel method for quantifying COVID-19 impact in India under triangular spherical fuzzy environment.Scientific reports · 2024Article
- Intensive care unit admission criteria: a scoping review.Journal of the Intensive Care Society · 2024Article
- A historical review and analysis on MOORA and its fuzzy extensions for different applications.Heliyon · 2024Article
- Evaluation of the treatment options for COVID-19 patients using generalized hesitant fuzzy- multi criteria decision making techniques.Socio-economic planning sciences · 2023Article
- Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions.Complex & intelligent systems · 2023Article
- Decision trees for early prediction of inadequate immune response to coronavirus infections: a pilot study on COVID-19.Frontiers in medicine · 2023Article
- MEF: Multidimensional Examination Framework for Prioritization of COVID-19 Severe Patients and Promote Precision Medicine Based on Hybrid Multi-Criteria Decision-Making Approaches.Bioengineering (Basel, Switzerland) · 2022Article
- The applications of MCDM methods in COVID-19 pandemic: A state of the art review.Applied soft computing · 2022Review
- Local Disproportions of Quality of Life and Their Influence on the Process of Green Economy Development in Polish Voivodships in 2010-2020.International journal of environmental research and public health · 2022Article
- Benchmarking sustainable E-commerce enterprises based on evolving customer expectations amidst COVID-19 pandemic.Business strategy and the environment · 2022Article
- Automated Triage System for Intensive Care Admissions during the COVID-19 Pandemic Using Hybrid XGBoost-AHP Approach.Sensors (Basel, Switzerland) · 2021Article
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4 authors.
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Abstract
BACKGROUND AND
objectiveThe COVID-19 pandemic results in an intense flow of patients to hospitals especially to the intensive care units (ICUs) to be treated. The ICUs will therefore be confronted with a massive influx of patients (e.g. Spain and Italy). However, if the number of patients is higher than the resources available in ICUs, rationing decisions such as determining and evaluating the criteria for ICU admission becomes essential. In this case, the decision of which patients will be admitted to the ICUs may put significant pressure on healthcare personnel. The goal of this paper is to determine the criteria to be used in the decision of admission of COVID-19 patients to the ICUs.
methodsA three-step methodology is applied. In the first step, the evaluation criteria are determined, and then the criteria are prioritized using a fuzzy analytical hierarchy process (AHP) in an uncertain and multiple-criteria environment choice. Finally, COVID-19 patients are ranked using the Multi-Objective Optimization Method by Ratio Analysis to find out which patient is more urgent.
resultsAccording to experts' evaluation of ICU admission criteria, "increment of >2 in SOFA score" seems the most dominant factor among others. The proposed methodology is tested on 10 anonymous COVID-19 positive patients being treated in a public hospital and the ICU admission results are discussed.
conclusionsObtained priorities and ranking is in line with the hospitals' behavior that potentially depicts the usefulness and validity of the proposed approach.
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