首页|University of Cincinnati Reports Findings in Machine Learning (A Neurosurgical R eadmissions Reduction Program in an Academic Hospital Leveraging Machine Learnin g, Workflow Analysis, and Simulation)
University of Cincinnati Reports Findings in Machine Learning (A Neurosurgical R eadmissions Reduction Program in an Academic Hospital Leveraging Machine Learnin g, Workflow Analysis, and Simulation)
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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 originating from Cincinnati, Ohio, by N ewsRx correspondents, research stated, “ Predicting 30-day hospital readmissions is crucial for improving patient outcomes, optimizing resource allocation, and achieving financial savings. Existing studies reporting the development of machi ne learning (ML) models predictive of neurosurgical readmissions do not report f actors related to clinical implementation.”
CincinnatiOhioUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesHealth and MedicineHospita lsInvestment and FinanceMachine LearningNeurosurgery
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