Portrait of Naiman Khan outside (IMAGE)
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In a new study, health and kinesiology professor Naiman Khan and his colleagues developed a machine-learning algorithm to determine which factors most closely aligned with performance on a cognitive test. The algorithm identified age, blood pressure and body mass index as the most important predictors of success. Adherence to a healthy diet also correlated with better performance on the test.
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Photo by Craig Pessman
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