Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with cirrhosis are at risk of death, according to a paper published in Gastroenterology.
AI predicts outcomes in hospitalized cirrhosis patients
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HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
