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| Related citation: | Sai Surya Varshith Nukala,Jayashree Jayaraman,Vijayashree Jayaraman,Rishi Raghu.Recognition and Anticipation of Diabetic Foot Ulcer in Type II Diabetic Patients using Multi-layered Fuzzy Model[J].Journal of Harbin Institute Of Technology(New Series),2024,31(4):13-23.DOI:10.11916/j.issn.1005-9113.2023051. |
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| Recognition and Anticipation of Diabetic Foot Ulcer in Type II Diabetic Patients using Multi-layered Fuzzy Model |
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| Author Name | Affiliation | | Sai Surya Varshith Nukala | School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India | | Jayashree Jayaraman | School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India | | Vijayashree Jayaraman | School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India | | Rishi Raghu | School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India |
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| Abstract: |
| Diabetes mellitus is associated with foot ulcers, which frequently pave the way to lower-extremity amputation. Neuropathy, trauma, deformity, high plantar pressures, and peripheral vascular disease are the most common underlying causes. Around 15% of diabetic patients are affected by diabetic foot ulcer in their lifetime. 64 million people are affected by diabetics in India and 40000 amputations are done every year. Foot ulcers are evaluated and classified in a systematic and thorough manner to assist in determining the best course of therapy. This paper proposes a novel model which predicts the threat of diabetic foot ulcer using independent agents for various input values and a combination of fuzzy expert systems. The proposed model uses a classification system to distinguish between each fuzzy framework and its parameters. Based on the severity levels necessary prevention, treatment, and medication are recommended. Combining the results of all the fuzzy frameworks derived from its constituent parameters, a risk-specific medication is recommended. The work also has higher accuracy when compared to other related models. |
| Key words: diabetic ulcer type Ⅱ diabetic fuzzy model |
| DOI：10.11916/j.issn.1005-9113.2023051 |
| Clc Number:TP3,R587 |
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