Prediction of Heart Disease Using SVM and NAIVE Bayes
Abstract & Details
Research Area
Computer Engineering
Keywords
Classification Techniques
decision Tree algorithmic program
SVM
cardiopathy kNN
Naïve Bayes
Neural Network
Risk level
etc.
Abstract
Nowadays, health disease is increasing day by day due to life style, hereditary. Especially, heart disease has become more common these days .i.e. life of people is at risk. Each individual has different values for Blood pressure, cholesterol and pulse rate. But according to medically proven results the normal values of Blood pressure is 120/90, cholesterol is and pulse rate is 72. This paper gives the survey about different classification techniques used for predicting the risk level of each person based on age, gender, Blood pressure, cholesterol, pulse rate. The patient risk level is classified using data mining classification techniques such as SVM, Naïve Bayes, kNN, and Decision Tree Algorithm, etc., Accuracy of the risk level is high when using more number of attributes.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Neha Desai | PREC Loni, Ahmednagar, Maharashtra, India |
| 2 | Shital Chitalkar | PREC Loni, Ahmednagar, Maharashtra, India |
| 3 | Rohini Kashid | PREC Loni, Ahmednagar, Maharashtra, India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Desai, Neha, Chitalkar, Shital, & Kashid, Rohini (2018). Prediction of Heart Disease Using SVM and NAIVE Bayes. International Journal of Advance Research and Innovative Ideas In Education, 4(3), 793-797.
MLA Style
Desai, Neha, et al. "Prediction of Heart Disease Using SVM and NAIVE Bayes." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 3, 2018, pp. 793-797.
IEEE Style
Neha Desai, Shital Chitalkar, and Rohini Kashid, "Prediction of Heart Disease Using SVM and NAIVE Bayes," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 3, pp. 793-797, 2018.
Vancouver Style
Desai Neha, Chitalkar Shital, Kashid Rohini. Prediction of Heart Disease Using SVM and NAIVE Bayes. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(3):793-797.
Harvard Style
Desai, Neha, Chitalkar, Shital, & Kashid, Rohini (2018) 'Prediction of Heart Disease Using SVM and NAIVE Bayes', International Journal of Advance Research and Innovative Ideas In Education, 4(3), pp. 793-797.
Chicago Style
Desai, Neha, Shital Chitalkar, and Rohini Kashid. "Prediction of Heart Disease Using SVM and NAIVE Bayes." International Journal of Advance Research and Innovative Ideas In Education 4, no. 3 (2018): 793-797.
Turabian Style
Desai, Neha, Shital Chitalkar, and Rohini Kashid. "Prediction of Heart Disease Using SVM and NAIVE Bayes." International Journal of Advance Research and Innovative Ideas In Education 4, no. 3 (2018): 793-797.
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