An Innovative Machine Learning based Heart Disease Assessment System by Sequential Feature Selection Approach

Author:

Rao V V R Maheswara1,K Meenakshi1,N Silpa1,Gottumukkala V S S P Raju1,M Narasimha Raju1,Pamarthi Nagaraju1

Affiliation:

1. Shri Vishnu Engineering College for Women,Department of C.S.E.,Bhimavaram,India

Publisher

IEEE

Reference23 articles.

1. Heart disease diagnosis using deep learning and feature selection based on whale optimization algorithm;rezaee;Journal of Ambient Intelligence and Humanized Computing,2021

2. An intelligent heart disease diagnosis system based on deep learning and feature selection;song;IEEE Access,2021

3. Machine learning-based heart disease diagnosis using genetic algorithm and support vector machine;sharma;Journal of Medical Systems,2021

4. Combining Multiple Feature-Ranking Techniques and Clustering of Variables for Feature Selection

5. A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes

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1. An Optimized Ensemble Machine Learning Framework for Water Quality Assessment System by Leveraging Forward Sequential Minimum Redundancy Maximum Relevance Feature Selection Method;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

2. Empowering Diabetic Prediction through MRMR-Driven Feature Selection and Robustness of Ensemble Machine Learning;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

3. A Robust XG-Boost Machine Learning Model for Water Quality Estimation System by Leveraging with Chi-Square Forward Sequential Feature Selection Technique;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

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