首页|Fuwai Hospital Reports Findings in Machine Learning (Development and validation of a machine learning predictive model for perioperative myocardial injury in ca rdiac surgery with cardiopulmonary bypass)
Fuwai Hospital Reports Findings in Machine Learning (Development and validation of a machine learning predictive model for perioperative myocardial injury in ca rdiac surgery with cardiopulmonary bypass)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Perioperative myocardial i njury (PMI) with different cut-off values has showed to be associated with diffe rent prognostic effect after cardiac surgery. Machine learning (ML) method has b een widely used in perioperative risk predictions during cardiac surgery.”
BeijingPeople’s Republic of ChinaAsiaC-Reactive ProteinCardiac SurgeryCardiologyCardiopulmonary BypassCybo rgsEmerging TechnologiesHealth and MedicineMachine LearningProteomicsRisk and Prevention
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