首页|Reports Summarize Machine Learning Study Results from Seoul National University College of Medicine (Comparison of NLP machine learning models with human physic ians for ASA Physical Status classification)
Reports Summarize Machine Learning Study Results from Seoul National University College of Medicine (Comparison of NLP machine learning models with human physic ians for ASA Physical Status classification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting from Seoul National Universi ty College of Medicine by NewsRx journalists, research stated, “The American Soc iety of Anesthesiologist’s Physical Status (ASA-PS) classification system assess es comorbidities before sedation and analgesia, but inconsistencies among raters have hindered its objective use. This study aimed to develop natural language p rocessing (NLP) models to classify ASA-PS using pre-anesthesia evaluation summar ies, comparing their performance to human physicians.” Financial supporters for this research include National Research Foundation of K orea (Nrf) Grant Funded By The Korean Government; Seoul National University Hosp ital; New Faculty Startup Fund From Seoul National University.
Seoul National University College of Med icineCyborgsEmerging TechnologiesMachine Learning
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