Artificial Neural Network for the Prediction of Chromosomal Abnormalities in Azoospermic Males

Akınsal E. C., Haznedar B., Baydilli N., Kalınlı A., Öztürk A., Ekmekcioglu O.

UROLOGY JOURNAL, vol.15, pp.122-125, 2018 (SCI-Expanded, Scopus)

  • Publication Type: Article / Article
  • Volume: 15
  • Publication Date: 2018
  • Doi Number: 10.22037/uj.v0i0.4029
  • Journal Name: UROLOGY JOURNAL
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.122-125
  • Keywords: Artificial neural network, azoospermia, chromosomal abnormality, infertility, prediction, NONOBSTRUCTIVE AZOOSPERMIA, SPERM RETRIEVAL, MEN, SPERMATOZOA, INFERTILITY, MODELS
  • Middle East Technical University Affiliated: No

Abstract

Purpose: To evaluate whether an artifical neural network helps to diagnose any chromosomal abnormalities in azoospermic males.