IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease
Accurate disease monitoring is an extremely time-consuming task for medical experts and technocrats involved, requiring technical support for diagnostic systems. To overcome this situation, we developed an Internet of Medical Things (IoMT) based on Tsukamoto Type 2 Fuzzy Inference System (TT2FIS) th...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-12-01
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| Series: | Clinical eHealth |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2588914124000078 |
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| author | M.K. Sharma Nitesh Dhiman Ajendra Sharma Tarun Kumar |
| author_facet | M.K. Sharma Nitesh Dhiman Ajendra Sharma Tarun Kumar |
| author_sort | M.K. Sharma |
| collection | DOAJ |
| description | Accurate disease monitoring is an extremely time-consuming task for medical experts and technocrats involved, requiring technical support for diagnostic systems. To overcome this situation, we developed an Internet of Medical Things (IoMT) based on Tsukamoto Type 2 Fuzzy Inference System (TT2FIS) that can easily handle diagnostic and predictive aspects in the medical field. In the proposed system, we developed a Tsukamoto type 2 fuzzy inference system that takes the patient’s symptoms as input factors and the medical device as the output factor of the result. The aim of this work is to demonstrate the usefulness of type 2 fuzzy sets in Tuberculosis and Alzheimer’s disease diagnostic system. Numerical calculations are also performed to illustrate the applicability of the proposed method. A validation of the proposed derivation of the proposed IoMT model is also discussed in the results and conclusions section. |
| format | Article |
| id | doaj-art-0025330c4a6f4078b101a0f958c90e01 |
| institution | OA Journals |
| issn | 2588-9141 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Clinical eHealth |
| spelling | doaj-art-0025330c4a6f4078b101a0f958c90e012025-08-20T02:17:08ZengKeAi Communications Co., Ltd.Clinical eHealth2588-91412024-12-017779110.1016/j.ceh.2024.05.002IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s diseaseM.K. Sharma0Nitesh Dhiman1Ajendra Sharma2Tarun Kumar3Department of Mathematics, Chaudhary Charan Singh University, Meerut 250004, IndiaDepartment of Mathematics, Chaudhary Charan Singh University, Meerut 250004, India; Department of Mathematics, Zakir Husain Delhi College, New Delhi 110002, IndiaDepartment of Mathematics, NAS College, Chaudhary Charan Singh University, Meerut 250004, IndiaDepartment of Mathematics, Chaudhary Charan Singh University, Meerut 250004, India; Corresponding author.Accurate disease monitoring is an extremely time-consuming task for medical experts and technocrats involved, requiring technical support for diagnostic systems. To overcome this situation, we developed an Internet of Medical Things (IoMT) based on Tsukamoto Type 2 Fuzzy Inference System (TT2FIS) that can easily handle diagnostic and predictive aspects in the medical field. In the proposed system, we developed a Tsukamoto type 2 fuzzy inference system that takes the patient’s symptoms as input factors and the medical device as the output factor of the result. The aim of this work is to demonstrate the usefulness of type 2 fuzzy sets in Tuberculosis and Alzheimer’s disease diagnostic system. Numerical calculations are also performed to illustrate the applicability of the proposed method. A validation of the proposed derivation of the proposed IoMT model is also discussed in the results and conclusions section.http://www.sciencedirect.com/science/article/pii/S2588914124000078Internet of Medical Things (IoMT)Fuzzy setsType-2 fuzzy setsTsukamoto inference SystemTsukamoto type-2 fuzzy inference system (TT2FIS) |
| spellingShingle | M.K. Sharma Nitesh Dhiman Ajendra Sharma Tarun Kumar IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease Clinical eHealth Internet of Medical Things (IoMT) Fuzzy sets Type-2 fuzzy sets Tsukamoto inference System Tsukamoto type-2 fuzzy inference system (TT2FIS) |
| title | IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease |
| title_full | IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease |
| title_fullStr | IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease |
| title_full_unstemmed | IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease |
| title_short | IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease |
| title_sort | iomt tsukamoto type 2 fuzzy expert system for tuberculosis and alzheimer s disease |
| topic | Internet of Medical Things (IoMT) Fuzzy sets Type-2 fuzzy sets Tsukamoto inference System Tsukamoto type-2 fuzzy inference system (TT2FIS) |
| url | http://www.sciencedirect.com/science/article/pii/S2588914124000078 |
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