Neural network analysis of clinicopathological factors in urological disease: A critical evaluation of available techniques

BJU International

Volumn 88, Issue 8, 2001, Pages 825-831

  Finne, P ^a,c   Finne, R ^a,b   Stenman, U H ^a  

^a HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

^b Swedish Polytechnic   (Finland)

^c Biomedicum Helsinki ^*  (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CANCER STAGING; DIAGNOSTIC ACCURACY; EVALUATION; HUMAN; HYDRONEPHROSIS; IMAGING; MATHEMATICAL ANALYSIS; MODEL; NERVE CELL NETWORK; PARAMETER; PATIENT SELECTION; PRIORITY JOURNAL; PROGNOSIS; PROSTATE BIOPSY; PROSTATE CANCER; PROSTATECTOMY; REGRESSION ANALYSIS; REVIEW; URINARY TRACT DISEASE;

DECISION MAKING, COMPUTER-ASSISTED; HUMANS; MALE; MODELS, BIOLOGICAL; NEOPLASM STAGING; NEURAL NETWORKS (COMPUTER); PROGNOSIS; PROSTATIC NEOPLASMS; SENSITIVITY AND SPECIFICITY; UROLOGIC DISEASES;

EID: 0035170660     PISSN: 14644096     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1464-4096.2001.02461.x     Document Type: Review

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