Multi-criteria decision analysis (MCDA) is a field that provides solution to the complex issue where multiple conflicting criteria occur for determination of the alternatives. Fuzzy logic is a process, which enables the expert defining and analyzing the environment under vague conditions. In this study the fuzzy based MCDA model is proposed for the analytical evaluation of the asthma medical devices. Asthma is a respiratory disease that affects the lungs. When the lungs are unable to inhale air properly, it becomes inflamed and swollen. The inflammation makes it difficult to breathe in air into the lungs and when air is not properly inhaled into the lungs, it could lead to death. Dust, tobacco smoke, old buildings/paintings, stress, anxiety, obesity and low weight, pollen grains, genetics, occupational chemicals are the main causes of the asthma. These causes needed to properly managed else it may cause the asthma attack. The attack of the asthma arises when any of the causes of asthma triggers the lungs that can make the airways become swollen and inflamed. Coughing, wheezing, tightness of chest and inability to breathe properly are the main symptoms of asthma. It can be managed and treated with the appropriate medical devices. These devices are inhalers and they designed to give medication into the lungs through inhalation to allow the release of the lungs or expansion of the lungs to allow the flow of air properly. Inhalers are portable devices that are used to administer drugs to asthma patients. The drugs are bronchodilators and anti-inflammatory which release the lungs when they are inhaled for allow the air flow. 7 different inhalers are analyzed from the 4 types of inhalers which include: Soft mist inhaler, Respimat inhaler, Dry powder inhaler and Nebulizers. These inhalers were evaluated and compared using fuzzy Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), which is a hybrid multi-criteria decision making technique. The parameters are selected as side effects, specificity, efficiency, cost, practicability, treatment duration, limitation, advantages and disadvantages. Based on the selected parameters accuhaler dry powder inhaler ranked as the best alternative with 0,2078 net flow value, soft mist inhaler ranked as the second with net flow value of 0,1943 and followed with Jet Nebulizer with 0,1912 net flow value.
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12 February 2024
INTERNATIONAL CONFERENCE ON ANALYSIS AND APPLIED MATHEMATICS (ICAAM 2022)
31 October–6 November 2022
Antalya, Türkiye
Research Article|
February 12 2024
Analytical analysis of the assistive devices for the asthma patients Available to Purchase
Sabareela Viktory Moro;
Sabareela Viktory Moro
a)
1
Department of Biomedical Engineering, Faculty of Engineering, Near East University
, Nicosia 99138, TRNC Mersin 10, Turkey
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Berna Uzun;
Berna Uzun
b)
2
Carlos III University of Madrid, Statistics Department
, Getafe 28903, Madrid, Spain
3
Operational Research Center in Healthcare, Near East University
, Nicosia 99138, TRNC Mersin 10, Turkey
4
Department of Mathematics, Faculty of Arts and Sciences, Near East University
, Nicosia 99138, TRNC Mersin 10, Turkey
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Ali Denker;
Ali Denker
c)
4
Department of Mathematics, Faculty of Arts and Sciences, Near East University
, Nicosia 99138, TRNC Mersin 10, Turkey
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Dilber Uzun Ozsahin
Dilber Uzun Ozsahin
d)
3
Operational Research Center in Healthcare, Near East University
, Nicosia 99138, TRNC Mersin 10, Turkey
5
Medical Diagnostic Imaging Department, College of Health Sciences, University of Sharjah
, Sharjah, United Arab Emirates
d)Corresponding author: [email protected]
Search for other works by this author on:
Sabareela Viktory Moro
1,a)
Berna Uzun
2,3,4,b)
Ali Denker
4,c)
Dilber Uzun Ozsahin
3,5,d)
1
Department of Biomedical Engineering, Faculty of Engineering, Near East University
, Nicosia 99138, TRNC Mersin 10, Turkey
2
Carlos III University of Madrid, Statistics Department
, Getafe 28903, Madrid, Spain
3
Operational Research Center in Healthcare, Near East University
, Nicosia 99138, TRNC Mersin 10, Turkey
4
Department of Mathematics, Faculty of Arts and Sciences, Near East University
, Nicosia 99138, TRNC Mersin 10, Turkey
5
Medical Diagnostic Imaging Department, College of Health Sciences, University of Sharjah
, Sharjah, United Arab Emirates
d)Corresponding author: [email protected]
AIP Conf. Proc. 3085, 020023 (2024)
Citation
Sabareela Viktory Moro, Berna Uzun, Ali Denker, Dilber Uzun Ozsahin; Analytical analysis of the assistive devices for the asthma patients. AIP Conf. Proc. 12 February 2024; 3085 (1): 020023. https://doi.org/10.1063/5.0195102
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