Abstract
other approaches. The results of these experiments emphasized the superiority of the proposed approach.
- Title
- Meta-heuristics for Feature Selection and Classification in Diagnostic Breast Cancer
- Creators - without role
- Doaa Sami Khafaga - Princess Nourah bint Abdulrahman UniversityAmel Ali Alhussan - Princess Nourah bint Abdulrahman UniversityEl-Sayed M. El-kenawy - Delta Higher Inst Engn & Technol, Dept Commun & Elect, Mansoura 35111, EgyptAli E. Takieldeen - Delta Univ Sci & Technol, Fac Artificial Intelligence, Mansoura 35712, EgyptTarek M. Hassan - Delta Univ Sci & Technol, Fac Engn, Commun & Comp Engn Dept, Int Coastal Rd, Gamasa City, Dakhliya, EgyptEhab A. Hegazy - Delta Univ Sci & Technol, Fac Appl Hlth Sci Technol, Mansoura 35712, EgyptElsayed Abdel Fattah Eid - College Station Medical CenterAbdelhameed Ibrahim - Mansoura UniversityAbdelaziz A. Abdelhamid - Ain Shams University
- Publication Details
- Computers, materials & continua, Vol.73(1), pp.748-765
- Publisher
- Tech Science Press
- Number of pages
- 17
- Grant note
- PNURSP2022R308 / Princess Nourah bint Abdulrahman University Researchers Supporting Project; Princess Nourah bint Abdulrahman University Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia; Princess Nourah bint Abdulrahman University
- Identifiers
- 9927536908331
- Academic Unit
- Princess Nourah bint Abdulrahman University; Shaqra University
- Language
- English
- Resource Type
- Journal article