Improving the Accuracy for Prediction of Heart Disease by Novel Feature Selection Scheme using Decision tree comparing with Naive-Bayes Classifier Algorithms-Reference-Cited by-同舟云学术

Improving the Accuracy for Prediction of Heart Disease by Novel Feature Selection Scheme using Decision tree comparing with Naive-Bayes Classifier Algorithms

Published:2022-02-16 Issue: Volume: Page:
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Container-title:2022 International Conference on Business Analytics for Technology and Security (ICBATS)
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Author:

Sameer S.K.L.¹,Sriramya P.¹

Affiliation:

1. Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9758922/9758923/09758926.pdf?arnumber=9758926

Reference27 articles.

1. Prediction of Heart Disease Using Multi-Layer Perceptron Neural Network and Support Vector Machine

2. A Survey on Predicting Heart Disease using Data Mining Techniques

3. Expression of Matrix Metalloproteinases (MMP-8 and -9) in Chronic Periodontitis Patients With and Without Diabetes Mellitus

4. Oligonucleotide therapy: An emerging focus area for drug delivery in chronic inflammatory respiratory diseases

5. Open Versus Closed Treatment of Unilateral Subcondylar and Condylar Neck Fractures: A Prospective, Randomized Clinical Study

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