The use of neural networks for predicting the result of endoscopic treatment for vesico-ureteric reflux

BJU International

Volumn 94, Issue 1, 2004, Pages 120-122

  Serrano Durbá, Agustín ^a   Serrano, Antonio J ^b   Magdalena, José R ^b   Martín, José D ^b   Soria, Emilio ^b   Domínguez, Carlos ^a   Estornell, Francisco ^a   García Ibarra, Fernando ^a  

^a HOSPITAL INFANTIL LA FE   (Spain)

^b UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Endoscopic treatment; Neural network; Reflux; VUR

Indexed keywords

ACCURACY; ADOLESCENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHILD; COMPUTER PROGRAM; CONTROLLED STUDY; CYSTOGRAPHY; ENDOSCOPIC SURGERY; EVALUATION; FEMALE; HUMAN; INFANT; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRIORITY JOURNAL; RELIABILITY; TREATMENT OUTCOME; URETER; VESICOURETERAL REFLUX;

ADOLESCENT; CHILD; CHILD, PRESCHOOL; FEMALE; HUMANS; INFANT; MALE; NEURAL NETWORKS (COMPUTER); ROC CURVE; SENSITIVITY AND SPECIFICITY; URETEROSCOPY; VESICO-URETERAL REFLUX;

EID: 3242792511     PISSN: 14644096     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1464-410X.2004.04912.x     Document Type: Article

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