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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 Feb 29, 2024
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...
Humans Machine Learning Algorithms Female Aged Aged, 80 and over Male Aging Middle Aged Support Vector Machine Longitudinal Studies Oxygen Consumption Mortality Baltimore
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Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology Jun 20, 2019
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Humans Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making Female Risk Factors Aged Male Ventricular Function, Left Stroke Volume Echocardiography Middle Aged Risk Assessment Disease Progression Time Factors Recovery of Function Predictive Value of Tests Patient Selection Heart Failure Cardiac Resynchronization Therapy Progression-Free Survival Practice Guidelines as Topic Heart-Assist Devices Heart Transplantation Ohio Baltimore
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