Neutrosophic approach for patient health monitoring using R programming
Abstract Although Reliability Block Diagrams (RBDs), are frequently employed for reliability analysis, their efficacy in healthcare applications is limited because they frequently fail to address the imprecision and uncertainty present in clinical data. By adding Neutrosophic Logic to RBDs, this wor...
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| Format: | Article |
| Language: | English |
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Springer
2025-03-01
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| Series: | Discover Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-025-06662-6 |
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| author | Liji Sebastian S. Rita Mujeeb Saif Mohsen Al-Absy J. Vennila K. P. Jaheer Mukthar |
| author_facet | Liji Sebastian S. Rita Mujeeb Saif Mohsen Al-Absy J. Vennila K. P. Jaheer Mukthar |
| author_sort | Liji Sebastian |
| collection | DOAJ |
| description | Abstract Although Reliability Block Diagrams (RBDs), are frequently employed for reliability analysis, their efficacy in healthcare applications is limited because they frequently fail to address the imprecision and uncertainty present in clinical data. By adding Neutrosophic Logic to RBDs, this work creates a novel method for improving reliability evaluations in ambiguous clinical settings. In contrast to conventional approaches, the Neutrosophic RBD model better represents the complexity of healthcare systems by integrating truth, indeterminacy, and falsity components. R programming is used to develop the model, and simulations are used to gauge how well it performs in various clinical settings. According to the simulations, the Neutrosophic RBD model outperforms conventional RBDs in managing uncertainty and enhancing decision-making, offering more flexibility and more precise reliability evaluations. This research establishes a foundation for future research that could broaden the application of this method to other decision-support systems, both within and beyond the healthcare sector. |
| format | Article |
| id | doaj-art-2da704bc1a1c45789dfce2713ae901e9 |
| institution | DOAJ |
| issn | 3004-9261 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Applied Sciences |
| spelling | doaj-art-2da704bc1a1c45789dfce2713ae901e92025-08-20T02:49:30ZengSpringerDiscover Applied Sciences3004-92612025-03-017411510.1007/s42452-025-06662-6Neutrosophic approach for patient health monitoring using R programmingLiji Sebastian0S. Rita1Mujeeb Saif Mohsen Al-Absy2J. Vennila3K. P. Jaheer Mukthar4Department of Statistics, Periyar UniversityStatistics Department, Periyar UniversityAccounting and Financial Science Department, College of Administrative and Financial Science, Gulf UniversityManipal College of Health Professions, Manipal Academy of Higher EducationKristu Jayanti College AutonomousAbstract Although Reliability Block Diagrams (RBDs), are frequently employed for reliability analysis, their efficacy in healthcare applications is limited because they frequently fail to address the imprecision and uncertainty present in clinical data. By adding Neutrosophic Logic to RBDs, this work creates a novel method for improving reliability evaluations in ambiguous clinical settings. In contrast to conventional approaches, the Neutrosophic RBD model better represents the complexity of healthcare systems by integrating truth, indeterminacy, and falsity components. R programming is used to develop the model, and simulations are used to gauge how well it performs in various clinical settings. According to the simulations, the Neutrosophic RBD model outperforms conventional RBDs in managing uncertainty and enhancing decision-making, offering more flexibility and more precise reliability evaluations. This research establishes a foundation for future research that could broaden the application of this method to other decision-support systems, both within and beyond the healthcare sector.https://doi.org/10.1007/s42452-025-06662-6Reliability block diagram (RBD)Neutrosophic logicTruthIndeterminacyFalsehoodHealth care |
| spellingShingle | Liji Sebastian S. Rita Mujeeb Saif Mohsen Al-Absy J. Vennila K. P. Jaheer Mukthar Neutrosophic approach for patient health monitoring using R programming Discover Applied Sciences Reliability block diagram (RBD) Neutrosophic logic Truth Indeterminacy Falsehood Health care |
| title | Neutrosophic approach for patient health monitoring using R programming |
| title_full | Neutrosophic approach for patient health monitoring using R programming |
| title_fullStr | Neutrosophic approach for patient health monitoring using R programming |
| title_full_unstemmed | Neutrosophic approach for patient health monitoring using R programming |
| title_short | Neutrosophic approach for patient health monitoring using R programming |
| title_sort | neutrosophic approach for patient health monitoring using r programming |
| topic | Reliability block diagram (RBD) Neutrosophic logic Truth Indeterminacy Falsehood Health care |
| url | https://doi.org/10.1007/s42452-025-06662-6 |
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