Use of Machine Learning to Develop Prediction Models for Mortality and Stroke in Patients Undergoing Balloon Aortic Valvuloplasty.

Journal: Cardiovascular revascularization medicine : including molecular interventions
Published Date: Jul 30, 2022

Abstract

OBJECTIVE: To develop an artificial intelligence, machine learning prediction model for estimating in-hospital mortality and stroke in patients undergoing balloon aortic valvuloplasty (BAV).

Authors

  • Agam Bansal
    Internal Medicine, Cleveland Clinic, Cleveland, OH, USA.
  • Anirudh Kumar
    Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Chandan Garg
    Deptartment of Statistics, Columbia University, New York, NY, USA.
  • Ankur Kalra
    Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, United States.
  • Rishi Puri
    Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio; Cleveland Clinic Coordinating Center for Clinical Research (C5R), Cleveland, Ohio. Electronic address: purir@ccf.org.
  • Samir R Kapadia
    Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.
  • Grant W Reed
    Dept. of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio.

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