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Home-based Detection and Prediction of Diabetic Foot Ulcers at Early Stage Using Sensor Technology and Supervised Learning

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Journal of Harbin Institute of Technology(New Series) 2024年第1期31卷 26-37页

作者： Kamasamudram Bhavya Sai rishi raghu Sai Surya Varshith Nukala Jayashree Jayaraman Vijayashree Jayaraman School of Computer Science and Engineering Vellore Institute of TechnologyVellore 632014India

For years,foot ulcers linked with diabetes mellitus and neuropathy have significantly impacted diabetic patients’ health-related quality of life(HRQoL). Diabetes foot ulcers impact15% of all diabetic patients at some point in their lives. The facilities and resources used for DFU detection and treatment are only available at hospitals and clinics,which results in the unavailability of feasible and timely detection at an early stage. This necessitates the development of an at-home DFU detection system that enables timely predictions and seamless communication with users,thereby preventing amputations due to neglect and severity. This paper proposes a feasible system consisting of three major modules:an IoT device that works to sense foot nodes to send vibrations onto a foot sole,a machine learning model based on supervised learning which predicts the level of severity of the DFU using four different classification techniques including XGBoost,K-SVM,Random Forest,and Decision tree,and a mobile application that acts as an interface between the sensors and the patient. Based on the severity levels,necessary steps for prevention,treatment,and medications are recommended via the application.

关键词： diabetic foot ulcer podiatry diabetes mellitus healthcare footcare internet of things machine learning human⁃computer interaction

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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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Journal of Harbin Institute of Technology(New Series) 2024年第4期31卷 13-23页

作者： Sai Surya Varshith Nukala Jayashree Jayaraman Vijayashree Jayaraman rishi raghu School of Computer Science and Engineering Vellore Institute of TechnologyVellore 632014Tamil NaduIndia

Diabetes mellitus is associated with foot ulcers,which frequently pave the way to lower-extremity ***,trauma,deformity,high plantar pressures,and peripheral vascular disease are the most common underlying *** 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 *** ulcers are evaluated and classified in a systematic and thorough manner to assist in determining the best course of *** 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 *** proposed model uses a classification system to distinguish between each fuzzy framework and its *** on the severity levels necessary prevention,treatment,and medication are *** the results of all the fuzzy frameworks derived from its constituent parameters,a risk-specific medication is *** work also has higher accuracy when compared to other related models.

关键词： diabetic ulcer typeⅡdiabetic fuzzy model

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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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Journal of Harbin Institute of Technology(New series) 2023年

作者： Sai Surya Varshith Nukala Jayashree Jayaraman Vijayashree Jayaraman rishi raghu School of Computer Science and Engineering Vellore Institute of Technology

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.

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