Improving the heart disease detection and patients' survival using supervised infinite feature selection and improved weighted random forest

• Main Authors: Abdellatif, Abdallah, Abdellatef, Hamdan, Kanesan, Jeevan, Chow, Chee-Onn, Chuah, Joon Huang, Gheni, Hassan Muwafaq
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2022
• Subjects: QA75 Electronic computers. Computer science; RA0421 Public health. Hygiene. Preventive Medicine
• Online Access: http://eprints.um.edu.my/42085/

Heart disease is the leading cause of death worldwide. A Machine Learning (ML) system can detect heart disease in the early stages to mitigate mortality rates based on clinical data. However, the class imbalance and high dimensionality issues have been a persistent challenge in ML, preventing accura...