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)
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据来自俄亥俄州辛辛那提的NewSRX记者的新闻报道，研究表明：“预测30天的再入院对于改善患者预后、优化资源配置和实现财务节约至关重要。现有报道Machi ne Learning(ML)预测神经外科再入院模型发展的研究没有报告与临床实施有关的F个行为者。”
Abstract
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.”
Key words
Cincinnati/Ohio/United States/North a nd Central America/Cyborgs/Emerging Technologies/Health and Medicine/Hospita ls/Investment and Finance/Machine Learning/Neurosurgery
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