Fault-Tolerant mHealth Framework in the Context of IoT-Based Real-Time Wearable Health Data Sensors

Albahri, O. S.; Albahri, A. S.; Zaidan, A. A.; Zaidan, B. B.; Alsalem, M. A.; Mohsin, A. H.; Nidhal, Shahad; Enaizan, Odai; Chyad, M. A.; Abdulkareem, Karrar Hameed; Almahdi, E. M.; Shafeey, Ghailan A. Al; Jasim, Ali Najm; Jalood, Nawar S.; Shareef, Ali. H.

doi:10.1109/access.2019.2910411

Cited by 112 publications

(45 citation statements)

References 139 publications

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“…Such techniques include weighted sum model [92] , multiplicative exponential weighting [93] , weighted product method [94] , hierarchical adaptive weighting [95] , simple additive weighting [96] , technique for order of preference by similarity to ideal solution [97] , vlsekriterijumska optimizacija i kompromisno resenje [98] , analytic hierarchy process (AHP) [99] , novel technique for the reorganisation of opinion order to interval levels (TROOIL) [49] and preference selection index (PSI) [100] . The major drawbacks of all of these methods, except for AHP, TROOIL and PSI, include the absence of weight generation provision [101][102][103].…”

Section: Development Of Prioritisation Approach Via Mcdm Methodsmentioning

confidence: 99%

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods

Albahri

Al‐Obaidi

Zaidan

et al. 2020

Computer Methods and Programs in Biomedicine

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Context: People who have recently recovered from the threat of deteriorating coronavirus disease-2019 (COVID-19) have antibodies to the coronavirus circulating in their blood. Thus, the transfusion of these antibodies to deteriorating patients could theoretically help boost their immune system. Biologically, two challenges need to be surmounted to allow convalescent plasma (CP) transfusion to rescue the most severe COVID-19 patients. First, convalescent subjects must meet donor selection plasma criteria and comply with national health requirements and known standard routine procedures. Second, multi-criteria decision-making (MCDM) problems should be considered in the selection of the most suitable CP and the prioritisation of patients with COVID-19. Objective: This paper presents a rescue framework for the transfusion of the best CP to the most critical patients with COVID-19 on the basis of biological requirements by using machine learning and novel MCDM methods.

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Section: Development Of Prioritisation Approach Via Mcdm Methodsmentioning

confidence: 99%

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods

Albahri

Al‐Obaidi

Zaidan

et al. 2020

Computer Methods and Programs in Biomedicine

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“…The scoring of suitable alternative(s) are then performed accordingly [77], [78]. In any MADM/MCDM ranking, fundamental terms are defined, which include decision or evaluation matrix (DM/EM) alternatives and criteria [79]- [81]. A DM/EM that comprises m alternatives and n criteria is necessary [82], [83].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment and Ranking Framework for the English Skills of Pre-Service Teachers Based on Fuzzy Delphi and TOPSIS Methods

et al. 2019

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In this study, pre-service teaching refers to teaching English as a second language (TESL) to Malaysian students whose first language is not English. TESL prepares English-language learners to become future teachers of English as a second language. To date, no multi-criteria framework has been developed to evaluate and select the skills of pre-service teachers. This study presents a new framework to assess and rank the English skills of pre-service teachers on the basis of fuzzy Delphi and multi-criteria analysis. Three experiments were conducted. Firstly, criteria were identified from the literature review and the opinions of representative experts via the Delphi method. Secondly, 31 pre-service teachers were evaluated to determine the skills of pre-service teachers on the basis of Delphi criteria outcomes. English proficiency was tested through the English Language Testing Service and four language skill examinations. Each examination was evaluated by experts with vast experience in English teaching. Thirdly, pre-service teachers were ranked on the basis of a set of evaluated Delphi criteria outcomes through the technique for the order of preference by similarity to ideal solution (TOPSIS) method. Thereafter, the mean and standard deviation were utilized to ensure the identical systematic ranking of pre-service teachers. Findings are as follows. Twenty-five criteria from previous studies are representative as evaluated by the opinions of experts, which were gathered through interviews and a structured questionnaire. The validity of content was verified using a five-point Likert scale. With Delphi method outcomes, 14 criteria were selected and included in the final framework. The results of the proposed evaluation framework were tested on Malaysian pre-service teachers. TOPSIS is effective for solving the selection problems of pre-service teachers. In the final experiment, significant differences were recognized between the scores of groups, indicating identical ranking results.

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“…29,30 Thus, understanding the exact situation for all infected patients based on all criteria and their weights is important. [31][32][33][34] In this case, the prioritization of patients with COVID-19 is highly recommended to administer appropriate treatment from critical to mild situations based on priority situation, especially in di±cult and critical times. 35 This process also enables specialists in medical sectors, such as in infectious disease science, to di®erentiate among patient levels and detect optimal asymptomatic carriers among other critical patients.…”

Section: Introductionmentioning

confidence: 99%

“…MCDM mainly aims to decide by ranking or prioritizing a set of alternatives on the basis of several evaluation criteria. [61][62][63][64][65]92,101 The combination of the analytic hierarchy process (AHP) and VIekriterijumsko KOmpromisno Rangiranje (VIKOR) in one platform is recommended in the medical domain. 26,66,91 The basis of integration is formed when the weights for the criteria are allocated in accordance with AHP.…”

Section: Introductionmentioning

confidence: 99%

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

Albahri

Al‐Obaidi

Zaidan

et al. 2020

Int. J. Info. Tech. Dec. Mak.

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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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Fault-Tolerant mHealth Framework in the Context of IoT-Based Real-Time Wearable Health Data Sensors

Cited by 112 publications

References 139 publications

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods

Assessment and Ranking Framework for the English Skills of Pre-Service Teachers Based on Fuzzy Delphi and TOPSIS Methods

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

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