Machine Learning-Based Heart Patient Scanning, Visualization, and Monitoring-Reference-Cited by-同舟云学术

Machine Learning-Based Heart Patient Scanning, Visualization, and Monitoring

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computing Sciences (ICCS)
language:
Short-container-title:

Author:

Ahdal Ahmed Al¹,Prashar Deepak²,Rakhra Manik²,Wadhawan Ankita²

Affiliation:

1. Lovely Professional University Jalandhar,Department of Machine Learning and Arterial intelligence,Phagwara,Punjab,India

2. Lovely Professional University Jalandhar,Department of Computer Science and Engineering,Phagwara,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9784423/9784587/09784742.pdf?arnumber=9784742

Reference11 articles.

1. Prediction of Heart Disease Using Machine Learning Algorithms.

2. Heart Diseases Detection Using Naive Bayes Algorithm;vembandasamy;International Journal of Engineering Science and Innovative Technology,2015

3. Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms

4. Cardiovascular risk prediction method based on CFS subset evaluation and random forest classification framework

5. Classification of heart diseases from ECG signals using wavelet transform and kNN classifier;bansal;International Conference on Computing Communication and Automation (ICCCA2015),0

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative Study of Heart Failure Using the Approach of Machine Learning and Deep Neural Networks;Lecture Notes in Networks and Systems;2024

2. Diagnosis of Early Cardiac Disease by Applying Machine Learning Algorithms;Algorithms for Intelligent Systems;2024

3. Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning;Journal of Healthcare Engineering;2023-02-08

4. Machine Learning Techniques to Detect Heart Disease in Early Stage Using Feature-Based Classification;Algorithms for Intelligent Systems;2023

5. A Review on Machine Learning-Based Algorithms for Heart Disease Diagnosis and Prediction;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2022-12-10