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AI technique identifies people who would benefit most from treatment to reduce future cardiovascular disease risk
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AI technique identifies people who would benefit most from treatment to reduce future cardiovascular disease risk

by Enrique Rivero, University of California, Los Angeles Credit: Pixabay/CC0 Public Domain New UCLA research suggests that a novel machine-learning technique known as “causal forest” was about five times more efficient than the current clinical practice of treating patients with high blood pressure. Under current practice, physicians treat patients with high blood pressure under the assumption that people at...