Artificial neural network model to predict biochemical failure after radical prostatectomy

Molecular Urology

Volumn 5, Issue 4, 2001, Pages 159-162

  Porter, Christopher ^a   O’Donnell, Colin ^b   Crawford, E David ^b,c   Gamito, Eduard J ^b   Errejon, Abelardo ^c   Genega, Elizabeth ^d   Sotelo, Tiffany ^a   Tewari, Ashutosh ^e  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b ANNs in CaP Project   (United States)

^c UNIVERSITY OF COLORADO   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

^e HENRY FORD HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROSTATE SPECIFIC ANTIGEN;

ADULT; AGE; AGED; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER ADJUVANT THERAPY; CANCER GRADING; CANCER RECURRENCE; CANCER STAGING; CANCER SURGERY; CLINICAL FEATURE; DECISION THEORY; DIAGNOSTIC ACCURACY; FOLLOW UP; HISTOPATHOLOGY; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL DECISION MAKING; METASTASIS; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROSTATE CANCER; PROSTATECTOMY; REGRESSION ANALYSIS; TREATMENT FAILURE; TREATMENT PLANNING; VALIDATION PROCESS;

ADJUVANTS, PHARMACEUTIC; ADULT; AGED; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROSTATE-SPECIFIC ANTIGEN; PROSTATECTOMY; PROSTATIC NEOPLASMS;

EID: 0035674878     PISSN: 10915362     EISSN: None     Source Type: Journal    
DOI: 10.1089/10915360152745830     Document Type: Article

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