Early Detection of Ureteropelvic Junction Obstruction Using Signal Analysis and Machine Learning: A Dynamic Solution to a Dynamic Problem.

Authors

Emily S Blum
Antonio R Porras
Elijah Biggs
Pooneh R Tabrizi
Rachael D Sussman
Bruce M Sprague
Eglal Shalaby-Rana
Massoud Majd
Hans G PohlFollow
Marius George Linguraru, George Washington UniversityFollow

Document Type

Journal Article

Publication Date

10-21-2017

Journal

The Journal of Urology

DOI

10.1016/j.juro.2017.09.147

APA Citation

Blum, E., Porras, A., Biggs, E., Tabrizi, P., Sussman, R., Sprague, B., Shalaby-Rana, E., Majd, M., Pohl, H., & Linguraru, M. (2017). Early Detection of Ureteropelvic Junction Obstruction Using Signal Analysis and Machine Learning: A Dynamic Solution to a Dynamic Problem.. The Journal of Urology, (). http://dx.doi.org/10.1016/j.juro.2017.09.147

Peer Reviewed

1