Saturday, November 18, 2017

Machine Learning Finds Correlation Between Heart Problems and Coffee Consumption

Image credit: Benedikt Geyer.
Image credit: Benedikt Geyer.

     Recently, research from the University of Colorado has shown that heart failure and stroke development can be reduced by increasing coffee consumption.


     Through machine learning, Laura Stevens, a doctoral student at the University Of Colorado School Of Medicine, and her colleagues analyzed data from the Framingham Heart Study. It showed that drinking one more cup of coffee compared to non-drinkers lowered risks of heart failure by 7% and stroke by 8%.


     Although coffee consumption has been linked to reduced heart failure and stroke even after being verified using the Cardiovascular Heart Study and the Atherosclerosis Risk in Communities Study, they are not 100% accurate.


     Quote from Laura Stevens "It is important to note that this type of study design demonstrates an observed association, but does not prove cause and effect."



Read more about this fascinating story at: www.sci-news.com 
Or read the full study at: http://circ.ahajournals.org/content/136/Suppl_1/A21081

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