Does machine learning-derived echocardiographic classification predict heart failure incidence in asymptomatic middle-aged individuals?
Machine learning-derived echocardiographic phenotypes using the e'VM algorithm can identify asymptomatic middle-aged individuals at different risks for long-term heart failure.
Among asymptomatic, middle-aged individuals, echocardiographic data-driven classification based on the simple e'VM algorithm identified profiles with different long-term HF risk. (4th Visit at 17 Years of Cohort STANISLAS-Stanislas Ancillary Study ESCIF STANISLASV4; NCT01391442).
Kobayashi et al. (Wed,) studied this question.