Predicting prostate cancer recurrence via maximizing the concordance index

KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2004, Pages 479-485

  Yan, Lian ^a   Verbel, David ^a   Saidi, Olivier ^a  

^a Aureon Biosciences Inc   (United States)

Author keywords

Concordance index; Neural networks; Nomogram; Prostate cancer recurrence; Survival analysis

Indexed keywords

DIAGNOSIS; ERROR ANALYSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PATIENT MONITORING; PROBABILITY; TUMORS;

CONCORDANCE INDEX; NOMOGRAM; PROSTATE CANCER RECURRENCE; SURVIVAL ANALYSIS;

NEURAL NETWORKS;

EID: 12244272666     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1014052.1014106     Document Type: Conference Paper

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