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)

Robotics & Machine Learning Daily News2024，Issue(MAY.20) ：58-59.

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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)

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Abstract

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.”

Key words

Saint-Denis/France/Europe/Algorithms/Anesthesia/Critical Care/Cyborgs/Emerging Technologies/Health and Medicine/Intubation/Machine Learning/Natural Language Processing/Pain Medicine/Respi ratory Medicine

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出版年

2024

Robotics & Machine Learning Daily News

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