Each year, over 20 million people die from heart attacks caused by cardiovascular disease. One of the reasons this keeps happening is due to doctors not having a better way to predict when a person might have a heart attack.
As it stands right now, a doctor is the only individual capable of summarizing whether or not a patient could have a heart attack soon. However, things could change in the coming years as a team from the University of Nottingham in the UK is working on ways to make the task easier.
According to the latest report, the team established a machine-learning algorithm designed to predict when folks would have a heart attack or even a stroke.
Quick Summary (Extracted by Machine Learning)
- This is reason enough to refine the AI better and get it on the field as soon as possible.
- Increase in accuracy
The AI now has a 76.4 percent accuracy, much better than any human doctor.
- One of the reasons this keeps happening is due to doctors not having a better way to predict when a person might have a heart attack.
- Interestingly enough, the artificial intelligence in use here is no slouch since it s capable of predicting a person s risk of heart attack at the rate of 72.8 percent.
- The algorithm should do a better job than any doctor could, but this is yet to be proven in the field.
Published: Thu Apr 20 2017 15:00:36 GMT-0400 (EDT)