首页|School of Science and Technology Reports Findings in Machine Learning (Chinese C linical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Me chanism: Algorithm Development and Validation)
School of Science and Technology Reports Findings in Machine Learning (Chinese C linical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Me chanism: Algorithm Development and Validation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingfrom Guilin, People’s Republic of China, by NewsRx journalists, research stated, “Clinical named entityrecognition (CNE R) is a fundamental task in natural language processing used to extract named en titiesfrom electronic medical record texts. In recent years, with the continuou s development of machine learning,deep learning models have replaced traditiona l machine learning and template-based methods, becomingwidely applied in the CN ER field.”
GuilinPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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