Early Detection of Ureteropelvic Junction Obstruction Using Signal Analysis and Machine Learning: A Dynamic Solution to a Dynamic Problem-Reference-Cited by-同舟云学术

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

Published:2018-03 Issue:3 Volume:199 Page:847-852
ISSN:0022-5347
Container-title:Journal of Urology
language:en
Short-container-title:Journal of Urology

Author:

Blum Emily S.¹²,Porras Antonio R.¹,Biggs Elijah¹,Tabrizi Pooneh R.¹,Sussman Rachael D.³,Sprague Bruce M.²,Shalaby-Rana Eglal⁴,Majd Massoud⁴,Pohl Hans G.²,Linguraru Marius George¹⁵

Affiliation:

1. Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Health System, Washington, D. C.

2. Division of Urology, Children’s National Health System, Washington, D. C.

3. Division of Urology, MedStar Georgetown University Hospital, Washington, D. C.

4. Department of Radiology, Children’s National Health System, Washington, D. C.

5. Departments of Radiology and Pediatrics, School of Medicine and Health Science, George Washington University, Washington, D. C.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Urology

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3. The long-term followup of newborns with severe unilateral hydronephrosis initially treated nonoperatively;Ulman;J Urol,2000

4. Inter-observer reproducibility in reporting on renal drainage in children with hydronephrosis: a large collaborative study;Tondeur;Eur J Nucl Med Mol Imaging,2008

5. Impaired drainage on diuretic renography using half-time or pelvic excretion efficiency is not a sign of obstruction in children with a prenatal diagnosis of unilateral renal pelvic dilatation;Amarante;J Urol,2003

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