Correlation between anatomical findings and symptoms in women with pelvic organ prolapse using an artificial neural network analysis

Author: Salvatore Stefano   Serati Maurizio   Siesto Gabriele   Cattoni Elena   Zanirato Mara   Torella Marco  

Publisher: Springer Publishing Company

ISSN: 0937-3462

Source: International Urogynecology Journal, Vol.22, Iss.4, 2011-04, pp. : 453-459

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