Predicting Risk Of Stroke From One's Genetic Blueprint
Friday, March 6, 2009 - 10:17
in Health & Medicine
The ability to predict a person's lifelong risk of stroke would allow clinicians to advise individuals at high risk. Researchers report on such a statistical model, which draws on 1,313 known genetic predictors. Used in 569 patients presenting with possible stroke, the model, known as a Bayesian network, was able to predict the true occurrence of stroke with 86 percent accuracy.