Self-Taught Artificial Intelligence Beats Doctors at Predicting Heart Attacks (Via Science News / Plos One)

From Science News – “In the new study, Weng and his colleagues compared use of the ACC/AHA guidelines with four machine-learning algorithms: random forest, logistic regression, gradient boosting, and neural networks.”

We teach 3 out of 4 of these methods in our Legal Analytics Course (which is a machine learning for lawyers class).

The underlying paper was published in Plos One (one of my favorite journals) and the location where we recently published our US Supreme Court Prediction paper.  In that paper, we use a time evolving random forest (with the novel twist of a tree burning protocol).