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Machine learning based prediction models in male reproductive health: Development of a proof-of-concept model for Klinefelter Syndrome in azoospermic patients.

Henrike KrenzAndrea SansoneMichael FujarskiClaudia KrallmannMichael ZitzmannMartin DugasSabine KlieschJulian VargheseFrank TüttelmannJörg Gromoll
Published in: Andrology (2022)
Machine learning could improve the diagnostic rate of Klinefelter Syndrome among azoospermic patients, even more for less-experienced physicians.
Keyphrases
  • machine learning
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • primary care
  • artificial intelligence
  • case report
  • patient reported