Analysis and Prediction of Heart Disease Using Decision Tree and Naive Bayes

Authors(2) :-Megha Rani Raigonda, Vaishnavi

The extraction of the hidden data from the large databases is data mining and it is also known as Knowledge Discovery Mining. It has many tasks one of them used here is predictive tasks which uses, that some variables to predict unknown or future values of other dataset. The major health problem affects large number of people is Heart disease . Unless it is treated at an early stage it causes death. Healthcare industry generates today large amount of complex data about the patients and resources of the hospitals, from the time where there has no sufficient focus on effective analysis tools to discover relationships in data especially in medical sector. The techniques of mining data are used to analyse rich collections of data from different perspectives and derive useful information, to develop diagnosis and predicting system for heart disease based on predictive mining. Number of trials are taken up to compare the performances of different techniques of data mining including Decision tree and Nave Bayes algorithms. As proposed, the risk factors are taken into consideration ,Decision tree and Nave Bayes are applied and performance on their diagnosis have been compared by the UCI Machine Learning Repository i,e WEKA tool. Thus, the Nave Bayes outperforms the Decision tree .

Authors and Affiliations

Megha Rani Raigonda
Department of MCA, VTUP.G Centre, Kalaburgi, Karnataka, India
Vaishnavi
Department of MCA, VTUP.G Centre, Kalaburgi, Karnataka, India

Watermarking, Encryption, Distortion, Reliability, Biomedical imaging, Biomedicaltrasonics, Cryptography, Medical Image Processing, Security of Data

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 303-308
Manuscript Number : CSEIT172464
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Megha Rani Raigonda, Vaishnavi, "Analysis and Prediction of Heart Disease Using Decision Tree and Naive Bayes", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.303-308, July-August-2017.
Journal URL : http://ijsrcseit.com/CSEIT172464

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