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Machine learning models predict delayed hyponatremia post-transsphenoidal surgery using clinically available features.

Yutaro FuseKazuhito TakeuchiHiroshi NishiwakiTakahiro ImaizumiYuichi NagataKinji OhnoRyuta Saito
Published in: Pituitary (2023)
The proposed machine learning models with pre- and post-resection features predicted DHN after the resection of PitNETs.
Keyphrases
  • machine learning
  • artificial intelligence
  • minimally invasive
  • big data
  • coronary artery bypass
  • deep learning
  • percutaneous coronary intervention
  • acute coronary syndrome