DOI: Google Scholar Analysis
For Authors
ijaems Issue
Prediction of Heart Disease Using Machine Learning Algorithms( Vol-2,Issue-6,June 2016 ) |
|
Author(s): Sonam Nikhar, A.M. Karandikar |
|
Keywords: |
|
|
Data mining, Heart Disease Prediction, Naïve Bayes Classifier, Decision tree Classifier. |
|
Abstract: |
|
|
The successful experiment of data mining in highly visible fields like marketing, e-business, and retail has led to its application in other sectors and industries. Healthcare is being discovered among these areas. There is an opulence of data available within the healthcare systems. However, there is a scarcity of useful analysis tool to find hidden relationships in data. This research intends to provide a detailed description of Naïve Bayes and decision tree classifier that are applied in our research particularly in the prediction of Heart Disease. Some experiment has been conducted to compare the execution of predictive data mining technique on the same dataset, and the consequence reveals that Decision Tree outperforms over Bayesian classification. |
|
Cite This Article: |
|
| Show All (MLA | APA | Chicago | Harvard | IEEE | Bibtex) | |
Share: |
|
DOI: 
