Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial [Original Articles]

Conclusions
In the COMPANION trial, a machine learning algorithm produced a model that predicted clinical outcomes after CRT. Applied before device implant, this model may better differentiate outcomes over current clinical discriminators and improve shared decision-making with patients.

Source: Circulation: Arrhythmia and Electrophysiology - January 11, 2018 Category: Cardiology Authors: Kalscheur, M. M., Kipp, R. T., Tattersall, M. C., Mei, C., Buhr, K. A., DeMets, D. L., Field, M. E., Eckhardt, L. L., Page, C. D. Tags: Heart Failure Original Articles Source Type: research