A study that use supervised machine learning to identify
potential variables important to assessing risk of incident chronic
heart disease (CHD), stroke, and heart failure (HF) in a
hypothesis-free, data-driven manner.
About the Podcast
We take the most popularly asked clinical questions monthly and create a class around the corresponding evidence. Our EBM podcast will offer a glimpse into the evidence covered, and listeners can follow up with our CE if interested in more information.