首页|Study Findings from Cedars Sinai Medical Center Provide New Insights into Machin e Learning (Using Machine Learning To Predict Outcomes of Patients With Blunt Tr aumatic Aortic Injuries)
Study Findings from Cedars Sinai Medical Center Provide New Insights into Machin e Learning (Using Machine Learning To Predict Outcomes of Patients With Blunt Tr aumatic Aortic Injuries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting from Los Angeles, Californi a, by NewsRx journalists, research stated, “The optimal managementof blunt thor acic aortic injury (BTAI) remains controversial, with experienced centers offeri ng therapyranging from medical management to TEVAR. We investigated the utility of a machine learning (ML)algorithm to develop a prognostic model of risk fact ors on mortality in patients with BTAI.”
Los AngelesCaliforniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningRis k and PreventionCedars Sinai Medical Center
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