PREDICTION OF HEART DISEASE USING K-MEANS and ARTIFICIAL NEURAL NETWORK as HYBRID APPROACH to IMPROVE ACCURACY-Reference-Cited by-同舟云学术

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PREDICTION OF HEART DISEASE USING K-MEANS and ARTIFICIAL NEURAL NETWORK as HYBRID APPROACH to IMPROVE ACCURACY

Published:2017-08-31 Issue:4 Volume:9 Page:3081-3085
ISSN:2319-8613
Container-title:International Journal of Engineering and Technology
language:
Short-container-title:IJET

Author:

Malav Amita,Kadam Kalyani,Kamat Pooja

Publisher

ENGG Journals Publications

Subject

General Engineering

Cited by 57 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. Examining the Global Patent Landscape of Artificial Intelligence-Driven Solutions for COVID-19;Machine Learning and Knowledge Extraction;2024-07-16

2. Early Detection and Accurate Prediction of Heart Disease: The Role of Stacked GRU-TCN Model;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

3. A Classification and Regression Tree Based Predictive System for Preventing Stroke;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

4. A Review of Machine Learning Algorithms for Biomedical Applications;Annals of Biomedical Engineering;2024-02-21

5. Artificial intelligence approaches to physiological parameter analysis in the monitoring and treatment of non-communicable diseases: A review;Biomedical Signal Processing and Control;2024-01

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