‘Black Box’ Machine Learning Predicts Heart Attacks

'Black Box' Machine Learning Predicts Heart Attacks

There were 24,970 cardiovascular events in the test group. The neural networks algorithm established by the AI (the best of the four models) was 3.6 percent more accurate than the current established model, the Nottingham researchers report. Most importantly, it corrected predicted an additional 355 more patients who developed cardiovascular disease that were not identified by the ACA guidelines.