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Applying graph theory to improve the quality of scientific evidence from textual information: Neural injuries after gynaecologic pelvic surgery for genital prolapse and urinary incontinence.

Ugo IndraccoloErnesto LosavioMauro Carone
Published in: Neurourology and urodynamics (2023)
Iatrogenic nerve injuries in urogynaecologic surgery are higher than whole gynaecologic surgery. Text-mining software SBS and probability conversion can provide reliable answers from overall scholars' opinions on unsolved clinical questions when better evidence is lacking.
Keyphrases
  • minimally invasive
  • coronary artery bypass
  • urinary incontinence
  • surgical site infection
  • machine learning
  • health information
  • social media
  • neural network