IJCATR Volume 4 Issue 4

Android Application to Predict and Suggest Measures for Diabetes Using DM Techniques

V.Krishna Priya A.Monika P.Kavitha
10.7753/IJCATR0404.1015
keywords : Android Application, Diabetes, Data Mining

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Data Mining is an analytic process designed to explore data in search of consistent patterns and systematic relationships between variables, and then to validate the results by applying the patterns found to a new subset of data. Data mining is often described as the process of discovering patterns, correlations, trends or relationships by searching through a large amount of data stored in repositories, databases, and data warehouses. Diabetes, often referred to by doctors as diabetes mellitus, describes a group of metabolic diseases in which the person has high blood [3] glucose (blood sugar), either because insulin production is insufficient, or because the body's cells do not respond properly to insulin, or both. This project helps in identifying whether a person has diabetes or not, if predicted diabetic[4] the project suggest measures for maintaining normal health and if not diabetic it predicts the risk of getting diabetic. In this project Classification algorithm was used to classify the Pima Indian diabetes dataset. Results have been obtained using Android Application.
@artical{v442015ijcatr04041015,
Title = "Android Application to Predict and Suggest Measures for Diabetes Using DM Techniques",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "4",
Issue ="4",
Pages ="291 - 295",
Year = "2015",
Authors ="V.Krishna Priya A.Monika P.Kavitha"}