Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods

Abstract

Coronavirus disease (COVID-19) pandemic has a tremendous effect on people’s lives worldwide, and the number of infected patients increases daily. The healthcare sector is affected by a large number of patients with COVID-19, and a solution is urgently needed to avert the risk of deteriorating patients in terms of prioritizing patients based on their health conditions. Prioritization of patients with COVID-19 is a complex and multi-criteria decision-analysis (MCDA) problem due to (i) multiple biological laboratory examination criteria, (ii) criteria importance and (iii) trade-off amongst the criteria. This study presents a new multi-biological laboratory examination framework for prioritizing patients with COVID-19 on the basis of integrated MCDA methods. The experiment was conducted on the basis of three phases. In the first phase, patient datasets containing eight biological laboratory examination criteria for six patients with COVID-19 were derived and discussed. The outcome of this phase was used to propose a decision matrix on the basis of the intersection between “biological laboratory examination criteria” and “COVID-19 patients list”. In the second phase, the analytic hierarchy process (AHP) method was utilized to set the subjective weights for the biological laboratory examination criteria by respiratory experts. In the last phase, the VIekriterijumsko KOmpromisno Rangiranje (VIKOR) method was adopted to prioritize patients in the context of individual and group decision making (GDM). Results showed that (1) the integration of AHP–VIKOR method based on individual and GDM contexts was effective for solving prioritization problems for patients with COVID-19, and (2) the prioritization results of patients with COVID-19 showed no variation in the internal and external VIKOR GDM contexts. The proposed multi-biological laboratory examination framework can differentiate between the mild and serious or critical condition of patients with COVID-19 by prioritizing them based on integrated AHP–VIKOR methods. In conclusion, medical sectors can use the proposed framework to differentiate the health conditions of infected patients and to assign appropriate care with prompt and effective treatment.

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Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods

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“… [ 32 ] Characterise the most important risk factors of corona virus Real-time monitoring of pandemic prevalence TOPSIS GMDH (Group Method of Data Handling) Important risk factors of COVID-19 Confirmed and death cases collected from website of (WHO) and some Government report between 31-Dec-2019 to 05-Apr-2020. [ 33 ] Remedial activity prioritisation AHP Social distancing, Hygiene, Shared individual things, Needless of touch-things, items of daily fresh food, and Immunity/fitness Guidelines and safety measures from WHO and governing organisations of diverse countries [ 34 ] COVID-19 patient prioritisation dependent on their health conditions AHP and VIKOR laboratory examinations (CRP, eosinophil ratios, eosinophils, white blood cell count, lymphocyte ratios, lymphocytes, neutrophil ratios, neutrophils) Six patients with COVID-19 (included 1 Asymptomatic Carrier with COVID-19) The presented Study Prioritisation and detection of asymptomatic carriers with COVID-19 Two feature selection approaches: automatic mechanisms (ANOVA, ) and knowledge-driven (expert judgment) ENTROPY–TOPSIS (MCDM) Objective validation Multi-laboratory Characteristics (White blood cell count, count of Neutrophil, count of Lymphocyte, Haemoglobin, count of Blood platelet, Albumin, C-reactive protein, Interleukin 6) 56 patients (included 8 asymptomatic carriers with COVID-19) …”