Performance Analysis of Data Mining Classification Algorithms to Predict Diabetes

Authors(3) :-Rakesh Singh Sambyal, Tanzeela Javid, Abhinav Bansal

Data mining refers to non-trivial extraction of valid, implicit, novel, potentially useful and ultimately understandable information patterns of data from enormous volumes of data. Classification and prediction are two forms of data analysis that can be used to extract models describing important data classes or to predict future data trends. One of the most important application of data mining is in disease prediction. In this paper we present a classification model developed using cloud platform Microsoft Azure that predicts the occurrence of Diabetes in an individual on the basis of non-pathological parameters – age, gender, family history of being diabetic, smoking and drinking habits, frequency of thirst and urination, weight height and fatigue. Six different algorithms have been compared among which the model created using “Two-Class Neural Network Algorithm” has the highest accuracy of 98.3% and hence has been deployed as a web service. Finally, a GUI is been developed in python to access the web service.

Authors and Affiliations

Rakesh Singh Sambyal
Department of Information Technology and Engineering, Baba Ghulam Shah Badshah University Rajouri, Jammu and Kashmir, India
Tanzeela Javid
Department of Computer Science and Engineering, Baba Ghulam Shah Badshah University Rajouri, Jammu and Kashmir, India
Abhinav Bansal
Department Of Computer Science and Engineering, PEC university Of Technology, Chandigarh, India

Data Mining, Diabetes, Classification and Prediction, Neural Networks, Microsoft Azure, Python diagnosis System.

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Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 56-63
Manuscript Number : CSEIT411809
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Rakesh Singh Sambyal, Tanzeela Javid, Abhinav Bansal, "Performance Analysis of Data Mining Classification Algorithms to Predict Diabetes", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.56-63, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT411809

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