Explainable ML models for a deeper insight on treatment decision for localized prostate cancer
Abstract Although there are several decision aids for the treatment of localized prostate cancer (PCa), there are limitations in the consistency and certainty of the information provided. We aimed to better understand the treatment decision process and develop a decision-predicting model considering...
Main Authors: | Jang Hee Han, Sungyup Lee, Byounghwa Lee, Ock-kee Baek, Samuel L. Washington, Annika Herlemann, Peter E. Lonergan, Peter R. Carroll, Chang Wook Jeong, Matthew R. Cooperberg |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-38162-1 |
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