In a recent paper published in the journal Patterns, a team of researchers from the Ohio State University created a novel artificial intelligence model that mimics the results of randomized clinical trials to identify the courses of action that heart disease patients should take to avoid stroke.
<p>Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers at UCLA Health, are described in Science Translational Medicine.</p>
Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing co
Machine learning tool identifies rare, undiagnosed immune disorders through patients' electronic health records medicalxpress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medicalxpress.com Daily Mail and Mail on Sunday newspapers.
Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing co