Doctors have lots of tools for predicting a patient's health. But--as even they will tell you--they're no match for the complexity of the human body. Heart attacks in particular are hard to anticipate. Now, scientists have shown that computers capable of teaching themselves can perform even better than standard medical guidelines, significantly increasing prediction rates. If implemented, the new method could save thousands or even millions of lives a year.

Sorry if not okay to post this. This is an automatic summary, original reduced by 80%. In an effort to predict these cases, many doctors use guidelines similar to those of the American College of Cardiology/American Heart Association. 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. Using record data available in 2005, they predicted which patients would have their first cardiovascular event over the next 10 years, and checked the guesses against the 2015 records.

Artificial intelligence may help prevent heart failure. Doctors have lots of tools for predicting a patient's health. But--as even they will tell you--they're no match for the complexity of the human body. Heart attacks in particular are hard to anticipate. Now, scientists have shown that computers capable of teaching themselves can perform even better than standard medical guidelines, significantly increasing prediction rates.