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Neural computational approaches to clinical male reproductive data analysis problems

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1 Author(s)
Niederberger, C.S. ; Dept. of Urology, Illinois Univ., Chicago, IL, USA

Clinical male reproductive medical problems are particularly complex due to the variety of systems that interact to achieve the ultimate reproductive outcome, fertilization. Neural computation offers a robust nonlinear computational modeling tool for andrological data sets. In this mini-symposium, neural computation is reviewed, and aspects of neural computation are discussed, including cross-validation, overlearning and feature extraction. Real world neural computational solutions for clinical andrological problems are given, including modeling outcomes of gamete micromanipulation, testis biopsy, and outcomes after varicocele surgery

Published in:

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE  (Volume:6 )

Date of Conference:

30 Oct-2 Nov 1997

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