Paging Dr. Watson: Machine learning better at predicting Heart Attacks

[WMGroomAK]

Originally read this article on Hot Hardware then followed up with the Science Mag article.  Doctors at Stanford University in Palo Alto have published the results from a study they conducted where they tested four separate Machine Learning Algorithms against the American College of Cardiology/American Heart Association (ACC/AHA) guidelines for predicting a heart attack.  The outcome of this is that the AI was actually more accurate than the ACC/AHA guidelines by a margin.  According to the Science Mag Article here is how the testing was performed:

 

http://www.sciencemag.org/news/2017/04/self-taught-artificial-intelligence-beats-doctors-predicting-heart-attacks

Quote

n 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. All four techniques analyze lots of data in order to come up with predictive tools without any human instruction. In this case, the data came from the electronic medical records of 378,256 patients in the United Kingdom. The goal was to find patterns in the records that were associated with cardiovascular events.

 

First, the artificial intelligence (AI) algorithms had to train themselves. They used about 78% of the data—some 295,267 records—to search for patterns and build their own internal “guidelines.” They then tested themselves on the remaining records. 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. Unlike the ACC/AHA guidelines, the machine-learning methods were allowed to take into account 22 more data points, including ethnicity, arthritis, and kidney disease.

As for the results, the article point out:

Quote

All four AI methods performed significantly better than the ACC/AHA guidelines. Using a statistic called AUC (in which a score of 1.0 signifies 100% accuracy), the ACC/AHA guidelines hit 0.728. The four new methods ranged from 0.745 to 0.764, Weng’s team reports this month in PLOS ONE. The best one—neural networks—correctly predicted 7.6% more events than the ACC/AHA method, and it raised 1.6% fewer false alarms. In the test sample of about 83,000 records, that amounts to 355 additional patients whose lives could have been saved. That’s because prediction often leads to prevention, Weng says, through cholesterol-lowering medication or changes in diet.

This is definitely a positive application of Machine Learning AI and hopefully this in combination of a skilled doctors expertise can improve the accuracy rate of predicting coronary issues and other health problems even further.  The big thing that should be stressed though is that I don't think it would be a good idea to remove the human element from reviewing the data, but just supplement a doctors expertise with the AI's ability to model complex datasets.

 

http://hothardware.com/news/machine-learning-ai-algorithms-predict-heart-attacks-better-than-doctors

 

[SansVarnic]

Wow. Very nice.

[2FA]

AI and neural networks are definitely the future. On a side note, hopefully military AI are banned.

[FPSwithaWacomTablet]

Sibyl system incoming...

[2FA]

23 hours ago, FPSwithaWacomTablet said:

Sibyl system incoming...

If only more people got the reference.

[WMGroomAK]

23 hours ago, FPSwithaWacomTablet said:

Sibyl system incoming...

 

5 minutes ago, DeadEyePsycho said:

If only more people got the reference.

I have to admit that I enjoyed the first season, but the second season seemed to go off the rails a bit...  Still need to watch the movie.

[2FA]

1 minute ago, WMGroomAK said:

 

I have to admit that I enjoyed the first season, but the second season seemed to go off the rails a bit...  Still need to watch the movie.

 

The new chick ruined it, too stuck up.

[Juniho]

there's hope for me yet 

[ARikozuM]

Now if only people would stop feeding themselves and their animals terrible food and get some exercise... 

 

Seriously, I like the fact that AI can predict it, but people need to be healthier or else WALL-E is going to be upon our a$$e$.