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System for Refining Pathology Report through Ontology Database Based Deep Learning

机译:通过基于本体数据库的深度学习来精炼病理学报告的系统

摘要

According to an embodiment of the present invention, a system for refining a pathology test result report through deep learning based on an ontology database includes an ontology database that provides keywords for refining the pathology test result report and for keyword extraction; an artificial intelligence deep learning keyword extraction unit for extracting keywords of a pathology test result report based on an ontology stored in the ontology database by applying an artificial intelligence deep learning model; and performing at least one of category classification, term mapping, and similarity evaluation of the keyword extracted by the artificial intelligence deep learning keyword extraction unit based on the ontology stored in the ontology database to identify and filter data that is not normally refined It may include a processing filter unit.
机译:根据本发明的一个实施例,通过基于本体数据库的深度学习来改进病理学测试结果报告的系统包括一个本体数据库,提供用于精炼病理测试结果报告和关键字提取的关键字; 一种人工智能深度学习关键字提取单元,用于通过应用人工智能深度学习模型来提取病理测试结果报告的关键字的关键字。 并执行由人工智能深度学习关键字提取单元提取的关键字的类别分类,术语映射和相似性评估的至少一个基于本体数据库中的本体,以识别和过滤通常改进的数据可能包括 处理过滤器单元。

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