Comparing Support Vector Machines and Neural Networks for Cardiac Arrest Risk Prediction-Reference-Cited by-同舟云学术

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Comparing Support Vector Machines and Neural Networks for Cardiac Arrest Risk Prediction

Published:2024-03-15 Issue: Volume:10 Page:805-810
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
language:
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Author:

Chaudhary Abhishek¹,Agrawal Gunjan²,Saraswat Manish³,Kumar Rakesh⁴

Affiliation:

1. JSS Academy of Technical Education,Department of Information Technology,Noida,UP,India

2. Raj Kumar Goel Institute of Technology,Department of Information Technology,Ghaziabad,UP,India

3. Lloyd Institute of Engineering & Technology,Department of Mechanical Engineering,Greater Noida,UP,India

4. GLA University,Department of Computer Engineering and Applications,Mathura,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489397.pdf?arnumber=10489397

Reference19 articles.

1. Support Vector Machine (SVM) and Artificial Neural Networks (ANN) based Chronic Kidney Disease Prediction

2. Machine Learning and Artificial Neural Network for Predicting Heart Failure Risk

3. Diagnosis of coronary artery disease based on machine learning algorithms support vector machine, artificial neural network, and random forest

4. Early Prediction of Cardiac Arrest Using Hybrid Machine Learning Models

5. Machine Learning-based Risk Prediction of Diabetes in Obese and Fatty Liver Patients: An Experimental Study

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