Prediction of pathological stage in patients with prostate cancer: A neuro-fuzzy model

PLoS ONE

Volumn 11, Issue 6, 2016, Pages

  Cosma, Georgina ^a   Acampora, Giovanni ^a   Brown, David ^a   Rees, Robert C ^a   Khan, Masood ^b   Pockley, A Graham ^a  

^a NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^b UNIVERSITY HOSPITALS OF LEICESTER NHS TRUST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

PROSTATE SPECIFIC ANTIGEN;

AGE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CANCER DIAGNOSIS; CANCER STAGING; FALSE POSITIVE RESULT; FUZZY SYSTEM; GLEASON SCORE; HUMAN; INTERMETHOD COMPARISON; MALE; PREDICTION; PROSTATE BIOPSY; PROSTATE CANCER; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; ARTIFICIAL INTELLIGENCE; BIOPSY; BLOOD; PATHOLOGY; PREDICTIVE VALUE; PROCEDURES; PROSTATE; PROSTATE TUMOR; THEORETICAL MODEL;

AGE FACTORS; ARTIFICIAL INTELLIGENCE; BIOPSY; HUMANS; MALE; MODELS, THEORETICAL; NEOPLASM STAGING; PREDICTIVE VALUE OF TESTS; PROSTATE; PROSTATE-SPECIFIC ANTIGEN; PROSTATIC NEOPLASMS;

EID: 84973459517     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0155856     Document Type: Article

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