Implementing a Machine-Learning-Adapted Algorithm to Identify Possible Transthyretin Amyloid Cardiomyopathy at an Academic Medical Center.

Joshua D MitchellDaniel J LenihanCasey ReedAhsan HudaKimberly NolenMarianna BrunoThomas Kannampallil

Published in: Clinical Medicine Insights. Cardiology (2022)

All EHR configurations tested were capable of operationalizing phenotypes or phenotype combinations to identify at-risk patients; the Clarity report was the most comprehensive.

Keyphrases

machine learning
end stage renal disease
ejection fraction
newly diagnosed
heart failure
peritoneal dialysis
artificial intelligence
electronic health record
big data
quality improvement
atrial fibrillation