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Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases
An intelligent remote prioritization for patients with high-risk multiple chronic diseases is proposed in this research, based on emotion and sensory measurements and multi-criteria decision making. The methodology comprises two phases: (1) a case study is discussed through the adoption of a multi-c...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959399/ https://www.ncbi.nlm.nih.gov/pubmed/36850457 http://dx.doi.org/10.3390/s23041854 |
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author | Alamoodi, A. H. Albahri, O. S. Zaidan, A. A. Alsattar, H. A. Zaidan, B. B. Albahri, A. S. Ismail, Amelia Ritahani Kou, Gang Alzubaidi, Laith Talal, Mohammed |
author_facet | Alamoodi, A. H. Albahri, O. S. Zaidan, A. A. Alsattar, H. A. Zaidan, B. B. Albahri, A. S. Ismail, Amelia Ritahani Kou, Gang Alzubaidi, Laith Talal, Mohammed |
author_sort | Alamoodi, A. H. |
collection | PubMed |
description | An intelligent remote prioritization for patients with high-risk multiple chronic diseases is proposed in this research, based on emotion and sensory measurements and multi-criteria decision making. The methodology comprises two phases: (1) a case study is discussed through the adoption of a multi-criteria decision matrix for high-risk level patients; (2) the technique for reorganizing opinion order to interval levels (TROOIL) is modified by combining it with an extended fuzzy-weighted zero-inconsistency (FWZIC) method over fractional orthotriple fuzzy sets to address objective weighting issues associated with the original TROOIL. In the first hierarchy level, chronic heart disease is identified as the most important criterion, followed by emotion-based criteria in the second. The third hierarchy level shows that Peaks is identified as the most important sensor-based criterion and chest pain as the most important emotion criterion. Low blood pressure disease is identified as the most important criterion for patient prioritization, with the most severe cases being prioritized. The results are evaluated using systematic ranking and sensitivity analysis. |
format | Online Article Text |
id | pubmed-9959399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99593992023-02-26 Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases Alamoodi, A. H. Albahri, O. S. Zaidan, A. A. Alsattar, H. A. Zaidan, B. B. Albahri, A. S. Ismail, Amelia Ritahani Kou, Gang Alzubaidi, Laith Talal, Mohammed Sensors (Basel) Article An intelligent remote prioritization for patients with high-risk multiple chronic diseases is proposed in this research, based on emotion and sensory measurements and multi-criteria decision making. The methodology comprises two phases: (1) a case study is discussed through the adoption of a multi-criteria decision matrix for high-risk level patients; (2) the technique for reorganizing opinion order to interval levels (TROOIL) is modified by combining it with an extended fuzzy-weighted zero-inconsistency (FWZIC) method over fractional orthotriple fuzzy sets to address objective weighting issues associated with the original TROOIL. In the first hierarchy level, chronic heart disease is identified as the most important criterion, followed by emotion-based criteria in the second. The third hierarchy level shows that Peaks is identified as the most important sensor-based criterion and chest pain as the most important emotion criterion. Low blood pressure disease is identified as the most important criterion for patient prioritization, with the most severe cases being prioritized. The results are evaluated using systematic ranking and sensitivity analysis. MDPI 2023-02-07 /pmc/articles/PMC9959399/ /pubmed/36850457 http://dx.doi.org/10.3390/s23041854 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alamoodi, A. H. Albahri, O. S. Zaidan, A. A. Alsattar, H. A. Zaidan, B. B. Albahri, A. S. Ismail, Amelia Ritahani Kou, Gang Alzubaidi, Laith Talal, Mohammed Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases |
title | Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases |
title_full | Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases |
title_fullStr | Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases |
title_full_unstemmed | Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases |
title_short | Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases |
title_sort | intelligent emotion and sensory remote prioritisation for patients with multiple chronic diseases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959399/ https://www.ncbi.nlm.nih.gov/pubmed/36850457 http://dx.doi.org/10.3390/s23041854 |
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