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Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning.

Ben LiBadr AljabriRaj VermaDerek BeatonMohamad A HussainDouglas S LeeDuminda Nalaka WijeysunderaCharles de MestralMuhammad M MamdaniMohammed Al-Omran
Published in: Journal of the American Heart Association (2024)
Our machine learning models accurately predict 30-day outcomes following lower extremity endovascular revascularization using preoperative data with good discrimination and calibration. Prospective validation is warranted to assess for generalizability and external validity.
Keyphrases
  • machine learning
  • coronary artery bypass grafting
  • percutaneous coronary intervention
  • big data
  • aortic dissection
  • electronic health record
  • patients undergoing
  • coronary artery disease
  • low cost
  • atrial fibrillation