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Research Paper | Computer Science | India | Volume 11 Issue 11, November 2022 | Rating: 5 / 10
A Comprehensive Analysis of Diabetes Mellitus using Data Mining Techniques
Deepa .S | Dr. B. Booba [2]
Abstract: Diabetes mellitus is a group of metabolic diseases in which the person has high blood glucose or blood sugar level either due to inadequate insulin production or because the body's cells do not respond properly to insulin or both. The most common sites of Diabetes have varied distribution among different geographical locations. The present study shows the comprehensive report of Diabetes Mellitus Patients of A & N Islands using data mining techniques. The study uses various data mining techniques such as classification, clustering, etc. to identify potential diabetes patients. This study also provides the details of diabetes patients based on several variables or data sets like Districts-South Andaman, North & Middle Andaman and Nicobar District, Area-Urban and Rural, Gender-Male and Female, Age, Eating Habits, etc. This study uses Descriptive Analysis i.e., Mean, Median, Mode and Standard Deviation, Correlation Analysis i.e., correlation of coefficient (r) and Differential Analysis i.e., ?t? test, ?F? test as a Statistical Technique to find the relationship exists between several variables or data sets. The k-means clustering algorithm is used for partitioning the data into diabetes and non-diabetes clusters, where the initial cluster center is represented by the mean value of the weightage of significant patterns.
Keywords: Andaman & Nicobar Islands, Classification, Clustering, Diabetic patients, Data Mining Techniques, k-means Algorithm, Research Design, Statistical Techniques, Types of Diabetes-Type-I & Type-II
Edition: Volume 11 Issue 11, November 2022,
Pages: 297 - 301