REPLY: Leveraging Machine Learning to Generate Prediction Models for Structural Valve Interventions

Míreanna Comhchosúla

• Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement
  le: Hernandez-Suarez, Dagmar F., et al.
  Foilsithe: (2019)
• Machine-Learning-Based In-Hospital Mortality Prediction for Transcatheter Mitral Valve Repair in the United States
  le: Hernandez-Suarez, Dagmar F., et al.
  Foilsithe: (2020)
• Racial/Ethnic Disparities in Patients Undergoing Transcatheter Aortic Valve Replacement: Insights from the Healthcare Cost and Utilization Project’s National Inpatient Sample
  le: Hernandez-Suarez, Dagmar F., et al.
  Foilsithe: (2019)
• Bioinformatics algorithm based on a parallel implementation of a machine learning approach using transducers
  le: Roche-Lima, Abiel, et al.
  Foilsithe: (2012)
• Assessment of Mitral Annular Plane Systolic Excursion in Patients With Left Ventricular Diastolic Dysfunction
  le: Hernandez-Suarez, Dagmar F., et al.
  Foilsithe: (2019)