The preliminary research was presented at the American Heart Association's Scientific Sessions in Anaheim, California.
If you want a healthier heart (and who doesn't?), drinking more coffee and eating more plants could make a huge difference.
The second study observed another link between cardiovascular health and coffee - which, of course, is another plant-based food.
In a new analysis of one of the country's largest and longest-running studies, drinking coffee was linked to a lower risk of heart failure, stroke and coronary heart disease. "The risk assessment tools we now use for predicting whether someone might develop heart disease, particularly heart failure or stroke, are very good but they are not 100 percent accurate", said Laura M. Stevens, B.S., first author of the study and a doctoral student at the University of Colorado School of Medicine in Aurora, Colorado and Data Scientist for the Precision Medicine Institute at the American Heart Association in Dallas, Texas.
But researchers are still behind this learning technology. 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.
Victoria Taylor, senior dietitian at the British Heart Foundation, added: "Previous research has suggested that intakes of three to five cups of coffee a day shouldn't affect the risk of developing heart and circulatory disease". The association between drinking coffee and a decreased risk of heart failure and stroke was consistently noted in all three studies.
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Although the findings were consistent, the researchers emphasize that the association is not necessarily causal, so we shouldn't jump to any conclusions just yet. The success of this machine learning experiment shows researchers could use the same method to possibly find other risk factors for heart failure or stroke.
Machine learning may be an effective way to analyze data to discover new ways to predict the risk of heart failure and stroke. That being said, it is now hard to verify these results because the definition of what constitutes "red meat" differs between studies.
Stevens and her team also designed a predictive risk model targeting congestive heart failure and stroke.
The news about coffee just keeps getting better.
The researchers suggest that machine learning could help identify additional risk factors to improve existing risk assessments that are not 100 percent accurate. When they added coffee-drinking to a risk assessment tool that also included other known risk factors (like age, blood pressure and cholesterol), their prediction accuracy improved by 4%. The heart study has tracked the health of thousands of participants since the 1940s contributing to a wealth of data made available to researchers.
Machine learning works by finding associations within data, 'much in the same way that online shopping sites predict products you may like based on your shopping history, and is one type of big data analysis, ' Stevens said. "The risk assessment tools we now use for predicting whether someone might develop heart disease, particularly heart failure or stroke, are very good but they are not 100 percent accurate".