Optimizing feature selection to improve medical diagnosis
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DOI: 10.1007/s10479-008-0506-z
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Cited by:
- Alaleh Razmjoo & Petros Xanthopoulos & Qipeng Phil Zheng, 2019. "Feature importance ranking for classification in mixed online environments," Annals of Operations Research, Springer, vol. 276(1), pages 315-330, May.
- Daniel Gartner & Rainer Kolisch & Daniel B. Neill & Rema Padman, 2015. "Machine Learning Approaches for Early DRG Classification and Resource Allocation," INFORMS Journal on Computing, INFORMS, vol. 27(4), pages 718-734, November.
- Tomasz Hachaj & Marek R. Ogiela & Katarzyna Koptyra, 2018. "Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods," Annals of Operations Research, Springer, vol. 265(2), pages 223-239, June.
- Talayeh Razzaghi & Ilya Safro & Joseph Ewing & Ehsan Sadrfaridpour & John D. Scott, 2019. "Predictive models for bariatric surgery risks with imbalanced medical datasets," Annals of Operations Research, Springer, vol. 280(1), pages 1-18, September.
- 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.
- Ning Wang & Zhuo Zhang & Jiao Zhao & Dawei Hu, 2022. "Recognition method of equipment state with the FLDA based Mahalanobis–Taguchi system," Annals of Operations Research, Springer, vol. 311(1), pages 417-435, April.
- Erfan Mehmanchi & Andrés Gómez & Oleg A. Prokopyev, 2021. "Solving a class of feature selection problems via fractional 0–1 programming," Annals of Operations Research, Springer, vol. 303(1), pages 265-295, August.
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Keywords
Feature selection; Classification; Optimization; Medical diagnosis; Decision making;All these keywords.
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