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Prediction of infective complications after retrograde intra renal surgery using Machine learning.

Mithat EkşiAli Emre Fakirİsmaıl EvrenEmre ŞamYusuf ArıkanTaner KargıAhmet HacıislamoğluAbdullah Hızır YavuzsanSelcuk SahinAli İhsan Taşçı
Published in: Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy (2023)
With ML, more reliable and predictive models can be created than with classical statistical methods.
Keyphrases
  • minimally invasive
  • coronary artery bypass
  • surgical site infection
  • coronary artery disease