Artificial neural networks in predicting optimum renal stone fragmentation by extracorporeal shock wave lithotripsy: A preliminary study

BJU International

Volumn 91, Issue 9, 2003, Pages 821-824

  Hamid, A ^a   Dwivedi, U S ^a   Singh, T N ^b   Kishore, M Gopi ^a   Mahmood, M ^a   Singh, H ^a   Tandon, V ^a   Singh, P B ^a  

^a BANARAS HINDU UNIVERSITY   (India)

^b BANARAS HINDU UNIVERSITY   (India)

Author keywords

ANN; Network system; Optimum fragmentation; Shocks; Stone(s)

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL TRIAL; COMPARATIVE STUDY; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; EVALUATION; EXTRACORPOREAL LITHOTRIPSY; HUMAN; MAJOR CLINICAL STUDY; NEPHROLITHIASIS; PREDICTION; PRIORITY JOURNAL; RADIOLOGY; REPRODUCIBILITY; TREATMENT OUTCOME; URINALYSIS;

HUMANS; KIDNEY CALCULI; LITHOTRIPSY; NEURAL NETWORKS (COMPUTER); PILOT PROJECTS; PROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 0037635380     PISSN: 14644096     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1464-410X.2003.04230.x     Document Type: Article

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