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A new approach to urinary system dynamics problems: Evaluation and classification of uroflowmeter signals using artificial neural networks

  • Published:2009-04 Issue:3 Volume:36 Page:4891-4895
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Altunay Semih,Telatar Ziya,Erogul Osman,Aydur Emin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference14 articles.

1. Critical review of the uroflowmetry;Abdelmagid;Canadian Journal of Urology,1998

2. Urodynamics;Abrams,2003

3. Uroflowmetry and evaluation of voiding disorders;Ather;Techniques Urology,1998

4. Chande, P. K., Katiyal, S., Shrivastava, M., & Ramani, A. K. (1991). Expert based uroflow metering system. In Industrial Electronics, Control and Instrumentation Proceedings, IECON’91 (Vol. 2, pp. 1521–1524).

5. Use of the uroflow study in the diagnosis of bladder outlet obstruction in elderly men;Ding;Medical Journal of Malaysia,1998

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