Performance comparison of feature selection methods for prediction in medical data

• Main Authors: Mohd Khalid, Nur Hidayah, Ismail, Amelia Ritahani, Abdul Aziz, Normaziah, Amir Hussin, Amir 'Aatieff
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Nature 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/105807/6/105807_Performance%20comparison%20of%20feature%20selection.PDF; http://irep.iium.edu.my/105807/7/105807_Performance%20comparison%20of%20feature%20selection_Scopus.pdf; http://irep.iium.edu.my/105807/; https://link.springer.com/chapter/10.1007/978-981-99-0405-1_7; https://doi.org/10.1007/978-981-99-0405-1_7
• Institution: Universiti Islam Antarabangsa Malaysia

Along with technological advancement, the application of machine learning algorithms in industry, notably in the medical field, has grown and pro- gressed quickly. Medical databases commonly contain a lot of information about the medical histories of the patients and patient’s conditions, in additio...