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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 9, September 2016
Diabetes Mellitus Recommendation System using Association Rule Mining
Sudhanshu S. Deshpande | Swati S. Joshi
Abstract: Early detection of the diabetes mellitus with an elevated risk of developing it, is critical to take overall clinical care of patients. Diabetes leads to critical medical diseases including ischemic heart disease, stroke. Early identification of patients who is at risk of developing diabetes is a major healthcare need for todays world. This study aims to apply a association rule mining to EMR (Electronic Medical Records) to discover the risk of developing a diabetes. Association rule mining generates a large set of rules which needs to summarize and use for recommendation purpose. The Subpopulations found after this summary covers peoples having at high risk of developing diabetes.
Keywords: Diabetes, Association rule, mining, EMR, medical
Edition: Volume 5 Issue 9, September 2016,
Pages: 701 - 702
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Study Papers, Computer Science & Engineering, India, Volume 12 Issue 2, February 2023
Pages: 668 - 687Feature Selection and Classification Algorithms for Chronic Disease Prediction Using Machine Learning Techniques
Saranya K R
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Research Paper, Computer Science & Engineering, Sweden, Volume 9 Issue 12, December 2020
Pages: 1137 - 1139Predicting Diabetes using Gradient Boosting is a Machine Learning Technique
Ali Adam Mohammad