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I, for one, can't function without a large cup of coffee in the morning. And at least another cup in the afternoon, to get me out of that post-lunch slump that makes me want to put my head on my desk and take a nap.
Fortunately, it seems that my coffee-drinking habits may mean that I'm less exposed to certain health risks, according to new research by the University of Colorado School of Medicine in Aurora.
Laura Stevens, a Ph.D. student at the University of Colorado, and Drs. Carsten Görg and David Kao, who both conducted this study, used machine learning alongside traditional data analysis techniques to uncover an inverse relationship between how much coffee we drink per week and how exposed we are to heart failure and stroke.
Their results were recently presented at the American Heart Association's (AHA) Scientific Sessions 2017, held in Anaheim, CA.
Could more coffee make a difference?
In the first instance, the researchers employed the random forests algorithm in machine learning to examine data sourced from the Framingham Heart Study, which has been running since 1948, providing crucial information about cardiovascular health.
Machine learning can make predictions based on data associations, and it has been increasingly used in healthcare and health-related research in the past few years. This is, in part, because it allows researchers to perform data mining — the process of identifying patterns based on very large amounts of data — more efficiently.
Following the machine learning data analysis, Stevens and colleagues found that an extra cup of coffee every week is associated with a 7 percent lower risk of heart failure and an 8 percent lower risk of stroke.
Additionally, the researchers performed traditional data analysis — Cox proportional hazards — on the information sourced from two other large population studies: the Cardiovascular Health Studyand the Atherosclerosis Risk In Communities Study.
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torsdag, november 16, 2017
If you simply can't live without coffee, then we've got good news for
