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Artificial neural networks for prostate carcinoma risk assessment
Author(s) -
Montie James E.,
Wei John T.
Publication year - 2000
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/1097-0142(20000615)88:12<2655::aid-cncr2>3.0.co;2-s
Subject(s) - medicine , prostate cancer , prostate carcinoma , risk assessment , oncology , carcinoma , cancer , computer science , computer security
Recent advances in our understanding of prostate carcinoma biology have allowed for improved risk assessments. Future development of programs to prognosticate survival by the International Union Against Cancer and the American Joint Committee on Cancer must go beyond clinical staging to incorporate risk assessment of important prognostic variables for a variety of outcomes.