A multi-criteria ranking algorithm (MCRA) for determining breast cancer therapy
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DOI: 10.1016/j.omega.2017.12.005
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Cited by:
- Ru, Zice & Liu, Jiapeng & Kadziński, Miłosz & Liao, Xiuwu, 2022. "Bayesian ordinal regression for multiple criteria choice and ranking," European Journal of Operational Research, Elsevier, vol. 299(2), pages 600-620.
- Guo, Mengzhuo & Zhang, Qingpeng & Liao, Xiuwu & Chen, Frank Youhua & Zeng, Daniel Dajun, 2021. "A hybrid machine learning framework for analyzing human decision-making through learning preferences," Omega, Elsevier, vol. 101(C).
- Wu, Qun & Liu, Xinwang & Zhou, Ligang & Qin, Jindong & Rezaei, Jafar, 2024. "An analytical framework for the best–worst method," Omega, Elsevier, vol. 123(C).
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Keywords
Breast cancer; Medical decision making; Patient-tailored treatment strategies; Risk factors; Inclusion and exclusion of treatment criteria; National comprehensive cancer network (NCCN) guidelines; Multi-criteria treatment ranking algorithm (MCRA); Analytical hierarchy process (AHP); Multi-criteria decision making; Decision support tools;All these keywords.
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