Optimization of Feature Selection in Support Vector Machines (SVM) Using Recursive Feature Elimination (RFE) and Particle Swarm Optimization (PSO) for Heart Disease Detection

Luhur Bayuaji; Kusnadi Kusnadi; Mochamad Yamin Amzah; Dwi Pebrianti

doi:10.1109/icom61675.2024.10652561

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Optimization of Feature Selection in Support Vector Machines (SVM) Using Recursive Feature Elimination (RFE) and Particle Swarm Optimization (PSO) for Heart Disease Detection

Luhur Bayuaji Kusnadi Kusnadi Mochamad Yamin Amzah Dwi Pebrianti

Year: 2024 Pages: 304-309

DOI: 10.1109/icom61675.2024.10652561

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Keywords:

Particle swarm optimization Support vector machine Feature selection Artificial intelligence Computer science Pattern recognition (psychology) Feature (linguistics) Selection (genetic algorithm) Machine learning

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Topics

Artificial Intelligence in Healthcare

Health Sciences → Health Professions → Health Information Management

Scientific and Engineering Research Topics

Health Sciences → Dentistry → Periodontics

Smart Systems and Machine Learning

Physical Sciences → Computer Science → Computer Networks and Communications

Optimization of Feature Selection in Support Vector Machines (SVM) Using Recursive Feature Elimination (RFE) and Particle Swarm Optimization (PSO) for Heart Disease Detection

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Citation History

Topics

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