Prediction of outcome in patients with urothelial carcinoma of the bladder following radical cystectomy using artificial neural networks

European Journal of Surgical Oncology

Volumn 39, Issue 4, 2013, Pages 372-379

  Buchner, A ^a   May, M ^b   Burger, M ^c,d   Bolenz, C ^e   Herrmann, E ^f   Fritsche, H M ^c   Ellinger, J ^g   Hofner T ^e   Nuhn, P ^a   Gratzke, C ^a   Brookman May, S ^a   Melchior, S ^h   Peter, J ^b,h   Moritz, R ^f   Tilki, D ^a   Gilfrich, C ^b   Roigas, J ⁱ   Zacharias, M ^j   Hohenfellner, M ^e   Haferkamp, A ^k   Trojan, L ^e,l   Wieland, W F ^c   Muller S C ^g   Stief, C G ^a   Bastian, P J ^a   more..

^a LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^b Urologische Klinik   (Germany)

^c UNIVERSITY OF REGENSBURG   (Germany)

^d UNIVERSITY OF WÜRZBURG   (Germany)

^e UNIVERSITY OF HEIDELBERG   (Germany)

^f UNIVERSITY OF MÜNSTER   (Germany)

^g UNIVERSITY OF BONN   (Germany)

^h KLINIKUM BREMEN MITTE   (Germany)

ⁱ VIVANTES KLINIKUM AM URBAN   (Germany)

^j Vivantes Klinikum AVK Berlin   (Germany)

^k GOETHE UNIVERSITY   (Germany)

^l UNIVERSITY OF GÖTTINGEN   (Germany)

more..

Author keywords

Artificial neural network; Bladder cancer; Outcome; Predictive accuracy; Radical cystectomy

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLADDER CARCINOMA; CANCER GRADING; CANCER INVASION; CANCER MORTALITY; CANCER SPECIFIC SURVIVAL; CANCER STAGING; CARCINOMA IN SITU; CYSTECTOMY; FEMALE; FOLLOW UP; HUMAN; MAJOR CLINICAL STUDY; MALE; OVERALL SURVIVAL; PRIORITY JOURNAL; REGRESSION ANALYSIS; TRANSITIONAL CELL CARCINOMA; TREATMENT OUTCOME; TUMOR RECURRENCE;

ADULT; AGED; AGED, 80 AND OVER; CARCINOMA, TRANSITIONAL CELL; CYSTECTOMY; DIAGNOSIS, COMPUTER-ASSISTED; DISEASE-FREE SURVIVAL; FEMALE; GERMANY; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PROGNOSIS; PROPORTIONAL HAZARDS MODELS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SURVIVAL ANALYSIS; URINARY BLADDER NEOPLASMS;

EID: 84875225781     PISSN: 07487983     EISSN: 15322157     Source Type: Journal    
DOI: 10.1016/j.ejso.2013.02.009     Document Type: Article

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