Publication | Open Access
Evaluation of prediction models for the staging of prostate cancer
21
Citations
47
References
2013
Year
This study has illustrated the inability of the current clinical variables and the 2007 Partin table to accurately predict prostate cancer stage. New biomarker features are urgently required to address the problem clinician's face in identifying the most appropriate treatment for their patients. This paper also demonstrated a concise methodological approach to evaluate novel features or prediction models.
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