首页|Data on Machine Learning Reported by Claire Morgand and Colleagues (Validation o f a Natural Language Processing Algorithm using National Reporting Data to Impro ve Identification of Anesthesia-related ADVerse evENTs: The 'ADVENTURE' Study)
Data on Machine Learning Reported by Claire Morgand and Colleagues (Validation o f a Natural Language Processing Algorithm using National Reporting Data to Impro ve Identification of Anesthesia-related ADVerse evENTs: The 'ADVENTURE' Study)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting out of Saint-Denis, France, by NewsRx ed itors, research stated, “Reporting and analysis of adverse events (AE) is associ ated with improved healthcare learning, quality outcomes, and patient safety. Ma nual text analysis is time-consuming, costly, and prone to human errors.”
Saint-DenisFranceEuropeAlgorithmsAnesthesiaCritical CareCyborgsEmerging TechnologiesHealth and MedicineIntubationMachine LearningNatural Language ProcessingPain MedicineRespi ratory Medicine