Login / Signup

Machine learning models to predict length of stay and discharge destination in complex head and neck surgery.

Khodayar GoshtasbiTyler M YasakaMehdi Zandi-ToghaniHamid R DjalilianWilliam B ArmstrongTjoson TjoaYarah M HaidarMehdi Abouzari
Published in: Head & neck (2020)
Novel and proof-of-concept ML models to predict DNHF and LOS were developed and published as web-based interfaces.
Keyphrases
  • machine learning
  • minimally invasive
  • artificial intelligence
  • surgical site infection
  • randomized controlled trial
  • systematic review
  • big data
  • coronary artery disease
  • atrial fibrillation