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Automatic validation and enrichment of semantic relationships between medical entities for drug research

机译:药物研究医学实体的语义关系自动验证和富集

摘要

embodiments of the present systems and methods may provide techniques that provide an enrichment of a representation of semantic graphs with relationships that can enable a higher resolution of the semantic relationships and allow a more accurate prediction of new relationships in the graph. For example, a method for drug research and drug repositioning can create semantic relationships on the computer system based on data relating to a plurality of aspects of drugs and pharmaceutical compounds,where the created semantic relations are represented in the form of a semantic graph, learning new relationships between the semantic relations in the semantic graph on the computer system using denoising autoencoders to process the semantic graph, and the preparation of predictions for drug research and repositioning of drugs on the computer system based on the semantic relationships, including the newly found relationships.
机译:本系统和方法的实施例可以提供提供具有能够实现语义关系更高分辨率的关系的语义图的富集的技术,并允许更准确地预测图表中的新关系。 例如,用于药物研究和药物重新定位的方法可以基于与药物和药物化合物的多个方面有关的数据来创造计算机系统上的语义关系,其中创建的语义关系以语义图的形式表示,学习 使用去噪自动控制处理语义图的计算机系统语义关系的语义关系与制备在语义关系的基于语义关系的计算机系统中药物研究和重新定位的预测,包括新发现的关系 。

著录项

  • 公开/公告号DE112020002669T5

    专利类型

  • 公开/公告日2022-03-03

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号DE20201102669T

  • 发明设计人 ADAM SPIRO;CHEN YANOVER;

    申请日2020-05-21

  • 分类号G16H70/40;G06F40/279;G06N20;

  • 国家 DE

  • 入库时间 2022-08-24 23:44:12

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