AI can predict heart attacks more accurately than doctors


An estimated 20 million people die each year due to cardiovascular disease. Luckily, a team of researchers from the University of Nottingham in the UK have developed a machine-learning algorithm that can predict your likelihood of having a heart attack or stroke as well as any doctor.

The American College of Cardiology/American Heart Association (ACC/AHA) has developed a series of guidelines for estimating a patient’s cardiovascular risk which is based on eight factors including age, cholesterol level and blood pressure. On average, this system correctly guesses a person’s risk at a rate of 72.8 percent.

That’s pretty accurate but Stephen Weng and his team set about to make it better. They built four computer learning algorithms, then fed them data from 378,256 patients in the United Kingdom. The systems first used around 295,000 records to generate their internal predictive models. Then they used the remaining records to test and refine them. The algorithms results significantly outperformed the AAA/AHA guidelines, ranging from 74.5 to 76.4 percent accuracy. The neural network algorithm tested highest, beating the existing guidelines by 7.6 percent while raising 1.6 percent fewer false alarms.

Out of the 83,000 patient set of test records, this system could have saved 355 extra lives. Interestingly, the AI systems identified a number of risk factors and predictors not covered in the existing guidelines, like severe mental illness and the consumption of oral corticosteroids. “There’s a lot of interaction in biological systems,” Weng told Science. “That’s the reality of the human body. What computer science allows us to do is to explore those associations.”

Source: Science

__

Join our fans by liking us on Facebook, or follow us on Twitter, Google+, feedly, flipboardand Instagram.

This article and images was originally posted on Engadget

by Andrew Tarantola, @terrortola

 

 

 

 

 

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s