Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.
Journal:
Circulation. Arrhythmia and electrophysiology
PMID:
31216884
Abstract
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Authors
Keywords
Aged
Baltimore
Cardiac Resynchronization Therapy
Clinical Decision-Making
Decision Support Techniques
Disease Progression
Echocardiography
Female
Heart Failure
Heart Transplantation
Heart-Assist Devices
Humans
Machine Learning
Male
Middle Aged
Ohio
Patient Selection
Practice Guidelines as Topic
Predictive Value of Tests
Progression-Free Survival
Recovery of Function
Retrospective Studies
Risk Assessment
Risk Factors
Stroke Volume
Time Factors
Ventricular Function, Left