A comparative study of artificial neural network and multivariate regression analysis to analyze optimum renal stone fragmentation by extracorporeal shock wave lithotripsy
Publication
, Journal Article
Assimos, D
Published in: Journal of Urology
June 1, 2011
Duke Scholars
Published In
Journal of Urology
DOI
ISSN
0022-5347
Publication Date
June 1, 2011
Volume
185
Issue
6
Start / End Page
2187
Related Subject Headings
- Urology & Nephrology
- 3202 Clinical sciences
- 1103 Clinical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Assimos, D. (2011). A comparative study of artificial neural network and multivariate regression analysis to analyze optimum renal stone fragmentation by extracorporeal shock wave lithotripsy. Journal of Urology, 185(6), 2187. https://doi.org/10.1016/j.juro.2011.02.2668
Assimos, D. “A comparative study of artificial neural network and multivariate regression analysis to analyze optimum renal stone fragmentation by extracorporeal shock wave lithotripsy.” Journal of Urology 185, no. 6 (June 1, 2011): 2187. https://doi.org/10.1016/j.juro.2011.02.2668.
Assimos D. A comparative study of artificial neural network and multivariate regression analysis to analyze optimum renal stone fragmentation by extracorporeal shock wave lithotripsy. Journal of Urology. 2011 Jun 1;185(6):2187.
Assimos, D. “A comparative study of artificial neural network and multivariate regression analysis to analyze optimum renal stone fragmentation by extracorporeal shock wave lithotripsy.” Journal of Urology, vol. 185, no. 6, June 2011, p. 2187. Scopus, doi:10.1016/j.juro.2011.02.2668.
Assimos D. A comparative study of artificial neural network and multivariate regression analysis to analyze optimum renal stone fragmentation by extracorporeal shock wave lithotripsy. Journal of Urology. 2011 Jun 1;185(6):2187.
Published In
Journal of Urology
DOI
ISSN
0022-5347
Publication Date
June 1, 2011
Volume
185
Issue
6
Start / End Page
2187
Related Subject Headings
- Urology & Nephrology
- 3202 Clinical sciences
- 1103 Clinical Sciences