Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy

no code implementations • 13 Sep 2021 • Brendan E. Odigwe, Francis G. Spinale, Homayoun Valafar

We have demonstrated that using machine learning approaches can identify HF patients with a high probability of a positive CRT response (95% accuracy), and of equal importance, identify those HF patients that would not derive a functional benefit from CRT.

BIG-bench Machine Learning Decision Making