A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches

• Main Authors: Saba Bashi, Irfan Ullah Khattak, Aihab Khan, Farhan Hassan Khan, Abdullah Gani, Muhammad Shiraz
• Format: Article
• Language: English; English
• Published: Hindawi Limited 2022
• Subjects: QA71-90 Instruments and machines
• Online Access: https://eprints.ums.edu.my/id/eprint/34656/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/34656/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/34656/; https://downloads.hindawi.com/journals/complexity/2022/8190814.pdf; https://doi.org/10.1155/2022/8190814

Feature selection is the process of identifying the most relevant features from the given data having a large feature space. Microarray datasets are comprised of high-quality features and very few samples of data. Feature selection is performed on such datasets to identify the optimal feature subset...