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Medical concept sorting based on machine learning of attribute value differentiation

机译:基于机器学习的医学概念分类差异化

摘要

Mechanisms are provided for performing entity differentiation. A cognitive medical system ingests a corpus of medical content having references to medical entities, and performs entity recognition on the medical content to identify the medical entities. Responsive to the cognitive medical system identifying a medical entity having a plurality of annotations for a same medical entity attribute, an entity differentiation component executes an ordered set of entity differentiation algorithms, corresponding to the medical entity, for differentiating medical entity attribute values. The entity differentiation component runs the ordered set of entity differentiation algorithms, in order, on the plurality of annotations for the attribute to generate a ranked list of medical entity attribute values corresponding to the annotations in the plurality of annotations. The cognitive medical system performs a cognitive operation on the medical entity based on the ranked list of medical entity attribute values.
机译:提供了用于执行实体差异的机制。认知医疗系统摄取具有对医疗实体的参考的医疗内容的语料库,并对医疗内容进行实体识别以识别医疗实体。响应于识别具有用于相同医疗实体属性的多个注释的医疗实体的认知医疗系统,实体差异分量执行与医疗实体对应的有序实体差异算法集,用于区分医疗实体属性值。实体差异化组件以订单,以命令对属性的多个注释运行订购的实体差分算法集,以生成与多个注释中的注释对应的医疗实体属性值的排名列表。认知医疗系统根据医疗实体属性值的排名列表对医疗实体进行认知操作。

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