A support vector machine-based ensemble algorithm for breast cancer diagnosis
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DOI: 10.1016/j.ejor.2017.12.001
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- Saba Bashir & Usman Qamar & Farhan Khan, 2015. "Heterogeneous classifiers fusion for dynamic breast cancer diagnosis using weighted vote based ensemble," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 2061-2076, September.
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- Akampurira Paul & Mutebi Joe & Mugisha Brian & Muhaise Hussein & Kyomuhangi Rosette, 2024. "Exploring Dimensionality Reduction Techniques for Improved Breast Cancer Diagnosis," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(5), pages 808-824, May.
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- Abdur Rasool & Chayut Bunterngchit & Luo Tiejian & Md. Ruhul Islam & Qiang Qu & Qingshan Jiang, 2022. "Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis," IJERPH, MDPI, vol. 19(6), pages 1-19, March.
- Jilong Zhang & Yuan Diao, 2024. "Hierarchical Learning-Enhanced Chaotic Crayfish Optimization Algorithm: Improving Extreme Learning Machine Diagnostics in Breast Cancer," Mathematics, MDPI, vol. 12(17), pages 1-26, August.
- Meshwa Rameshbhai Savalia & Jaiprakash Vinodkumar Verma, 2023. "Classifying Malignant and Benign Tumors of Breast Cancer: A Comparative Investigation Using Machine Learning Techniques," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 12(1), pages 1-19, January.
- Baldomero-Naranjo, Marta & Martínez-Merino, Luisa I. & Rodríguez-Chía, Antonio M., 2020. "Tightening big Ms in integer programming formulations for support vector machines with ramp loss," European Journal of Operational Research, Elsevier, vol. 286(1), pages 84-100.
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- Kamyab Karimi & Ali Ghodratnama & Reza Tavakkoli-Moghaddam, 2023. "Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis," Annals of Operations Research, Springer, vol. 328(1), pages 665-700, September.
- Li, Yanying & Che, Jinxing & Yang, Youlong, 2018. "Subsampled support vector regression ensemble for short term electric load forecasting," Energy, Elsevier, vol. 164(C), pages 160-170.
- Joanna Błajda & Edyta Barnaś & Anna Kucab, 2022. "Application of Personalized Education in the Mobile Medical App for Breast Self-Examination," IJERPH, MDPI, vol. 19(8), pages 1-21, April.
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Keywords
Analytics; Cancer diagnoses; Support vector machine; Ensemble learning; Variance reduction;All these keywords.
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