Fuzzy Based Predication Technique for Diabetics Association Analysis for Salem District Farmers


  • A. Dalvin Vinoth Kumar Assistant Professor, Department of Computer Applications, Dayananda Sagar University, Bengaluru, India




Data mining, Classification, predication, fuzzy preprocessing


Diabetes is a one of the major issue that all people in the world currently face. Diabetes is caused by excessive amounts of sugar in the blood. Once diabetes is diagnosed, it is not completely curable, but it can be controlled with proper medication, exercise and a balanced diet. Diabetes affects the vital organs of the body such as the heart, kidneys, brain and eyes. The diabetes mellitus and its complications can be determined using a variety of pathological tests, such as patients’ symptoms and blood sugar, urine and lipid profile. The use of fuzzy logic in diagnosis is very common and useful because it combines the knowledge and experience of the physician into ambiguous sets and rules. Most of the researchers proposed methods to diagnosis the diabetes mellitus but still it in their infancy level. This work proposed a fuzzy based system for diagnosing diabetes disease. The usage of pesticides in agriculture by farmers is treated as one of the dependent variable for predication. The empirical zif’s law is used to compute the frequency of farmers using pesticides are predicated as diabetic. The output of the proposed system proved that the fuzzy based prediction model diagnosis the disease accurately.


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Author Biography

A. Dalvin Vinoth Kumar, Assistant Professor, Department of Computer Applications, Dayananda Sagar University, Bengaluru, India

A. Dalvin Vinoth Kumar, Assistant Professor, Dept. of Computer Applications, Dayananda Sagar University Bengaluru, has 4 years of Teaching and 7 years of research experience. He pursued his Ph.D. in IoT and obtained Ph.D., Degree from Bharathidasan University. His areas of interest include MANET, IoT, Routing Protocols, Computer Vision and IoT Data Analytics. He filed 3 Indian Patents and 1 computer software copyright granted. He has published 35 research papers in various reputed National & International Journals and published research Papers in National & International conferences. He presented 22 papers in various National & International conferences. He also delivered 40 Lectures in Conferences/Seminars/Workshops/Webinars. He is, Active member and review Member in national and International bodies like Internet of Things Community, IEEE. He received BEST Innovator Award from CIYF and Ministry of Youth Affairs Government of India. He also Received Best researcher in Science Award from St. Joseph College. He was participated in Swachhathon 1.0 conducted by Ministry of Drinking Water and Sanitation Government of India. He presented and received Top poster Award, a poster Entitled “Health Monitoring of Rural Pregnant Women using IoT” in Indian International Science Feast conducted by DST Govt. of India. He has presented a paper in an ACM International at Singapore. He was also the recipient of 5 best paper awards.


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