Diagnostic and Therapeutic Model for Real Time Management of Diabetes
نویسندگان
چکیده
Diabetes is a major health problem inherent to people at all age groups in developing countries. Conventionally, diagnosis of this condition was based on blood sugar level however, its effect can be traced from other symptoms such as Body Mass Index, and Blood Pressure. This paper presents a decision support model that can be used by diabetic patients and medical practitioners for diagnosis and therapy of diabetes. Fuzzy Logic was adopted for diagnosing pre-diabetic and diabetic patients’ data from Obafemi Awolowo University Teaching Hospital Complex, Ile-Ife, OsunState, Nigeria. Therapy is provided as personalized diet recommendation using person correlation coefficient and users’ preferences. System evaluation shows adorable performance on both operations.
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