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Research Paper | Computer Science & Engineering | Sudan | Volume 6 Issue 10, October 2017
Comparative Study of Diabetic Patient Data Using Classi?cation Algorithm in Weaka
Ahlam A. Sharief | Alaa F. Sheta [3] | Talaat M. Wahbi [4]
Abstract: Diabetes mellitus is now a big growing health problem as it is fourth biggest cause of death world wide particularly in the industrial and developing countries. Early detection of diabetes is of vital importance nowadays. There have been many techniques used in Machine learning that were applied over diabetes diagnosis to help physicians. Diabetes mellitus or simply diabetes is a disease caused due to the increase level of blood glucose. Various available traditional methods for diagnosing diabetes are based on physical and chemical tests. These methods can have errors due to different uncertainties. A number of Data mining algorithms were designed to overcome these uncertainties.
Keywords: diabetes, Classication, Feature Selection, Pima Indians Diabetes Dataset PIDD, Weaka
Edition: Volume 6 Issue 10, October 2017,
Pages: 141 - 146
Similar Articles with Keyword 'diabetes'
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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
Downloads: 71
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