Hybrid K-Means and Support Vector Machine to Predict Heart Failure-Reference-Cited by-同舟云学术

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Hybrid K-Means and Support Vector Machine to Predict Heart Failure

Published:2021-10-07 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Saravanan Shruti,Swaminathan Krithika

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9591657/9591622/09591738.pdf?arnumber=9591738

Cited by 6 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. Machine Learning in Healthcare Analytics: A State-of-the-Art Review;Archives of Computational Methods in Engineering;2024-04-04

2. Survival Classification in Heart Failure Patients by Neural Network-Based Crocodile and Egyptian Plover (CEP) Optimization Algorithm;Arabian Journal for Science and Engineering;2023-08-24

3. Heart Failure Prediction Using Machine Learning Algorithms with Cross Validations;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10

4. Survival Analysis of Heart Failure Patients Using Advanced Machine Learning Techniques;2023 International Conference on Advanced & Global Engineering Challenges (AGEC);2023-06-23

5. Heart Failure Prediction Using XGB Classifier, Logistic Regression and Support Vector Classifier;2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT);2023-05-05

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