Accurate Diagnosis of Cardiac Disease with and Without Using GRIDSEARCHCV-Reference-Cited by-同舟云学术

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Accurate Diagnosis of Cardiac Disease with and Without Using GRIDSEARCHCV

Published:2023-10-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
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Author:

Regulagadda Ravi¹,K Reddy Madhavi²,Prasad V. Siva²,Satyam Yedlla¹,Manthu Rekhasree³,Okali Rakshita⁴

Affiliation:

1. CMR Technical Campus,Department of IT,Hyderabad,Telangana,India

2. School of Computing, Mohan Babu University,Tirupati,Andhra Pradesh,India

3. KU College of Engineering & Technology, Kakatiya University,Department of CSE,Warangal,Telangana,India

4. CMR Technical Campus,Department of CSE,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10346237/10346217/10346700.pdf?arnumber=10346700

Reference15 articles.

1. Combination of supervised and unsupervised learning for training the activation functions of neural networks

2. Diagnosing coronary artery disease via data mining algorithms by considering laboratory and echocardiography features

3. Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction

4. Early prediction of heart diseases using data mining techniques;Chaurasia;Caribbean J. Sci. Technol.,2013

5. Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques

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