ArticleComputational and mathematical methods in medicine2017
A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method.
Article in Computational and mathematical methods in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 188 citations in OpenAlex.
- A cardiovascular disease prediction method based on cross-combination strategy and dynamic weighted stacking ensemble.Scientific reports · 2026Article
- An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques.Bioengineering (Basel, Switzerland) · 2024Article
- Optimal feature selection for heart disease prediction using modified Artificial Bee colony (M-ABC) and K-nearest neighbors (KNN).Scientific reports · 2024Article
- A machine learning approach to classifying New York Heart Association (NYHA) heart failure.Scientific reports · 2024Article
- An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction.Diagnostics (Basel, Switzerland) · 2024Article
- Feature elimination and stacking framework for accurate heart disease detection in IoT healthcare systems using clinical data.Frontiers in medicine · 2024Article
- Fog-Based Smart Cardiovascular Disease Prediction System Powered by Modified Gated Recurrent Unit.Diagnostics (Basel, Switzerland) · 2023Article
- A Machine Learning Model for Detection of Coronary Artery Disease Using Noninvasive Clinical Parameters.Life (Basel, Switzerland) · 2022Article
- A hybrid cost-sensitive ensemble for heart disease prediction.BMC medical informatics and decision making · 2021Article
- Computational Learning Model for Prediction of Heart Disease Using Machine Learning Based on a New Regularizer.Computational intelligence and neuroscience · 2021Article
- Diagnosis of mesothelioma with deep learning.Oncology letters · 2019Article
- A Feature-Driven Decision Support System for Heart Failure Prediction Based onComputational and mathematical methods in medicine · 2019Article
- Evolutionary and Neural Computing Based Decision Support System for Disease Diagnosis from Clinical Data Sets in Medical Practice.Journal of medical systems · 2017Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heart disease is one of the most common diseases in the world. The objective of this study is to aid the diagnosis of heart disease using a hybrid classification system based on the ReliefF and Rough Set (RFRS) method. The proposed system contains two subsystems: the RFRS feature selection system and a classification system with an ensemble classifier. The first system includes three stages: (i) data discretization, (ii) feature extraction using the ReliefF algorithm, and (iii) feature reduction using the heuristic Rough Set reduction algorithm that we developed. In the second system, an ensemble classifier is proposed based on the C4.5 classifier. The Statlog (Heart) dataset, obtained from the UCI database, was used for experiments. A maximum classification accuracy of 92.59% was achieved according to a jackknife cross-validation scheme. The results demonstrate that the performance of the proposed system is superior to the performances of previously reported classification techniques.
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