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Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology 31216884
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
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
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Development, validation, and transportability of several machine-learned, non-exercise-based VO prediction models for older adults.

Journal of sport and health science 38428731
BACKGROUND: There exist few maximal oxygen uptake (VO) non-exercise-based prediction equations, fewer using machine learning (ML), and none specifically for older adults. Since direct measurement of VO is infeasible in large epidemiologic cohort stud...
Aged Aged, 80 and over Aging Algorithms Baltimore Female Humans Longitudinal Studies Machine Learning Male Middle Aged Mortality Oxygen Consumption Support Vector Machine
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