面向误诊提示的疾病-症状语义网构建

Construction of disease-symptom semantic net for misdiagnosis prompt

首先,从医疗语料库中识别症状描述词语,基于症状间语义关系构建症状本体。然后,通过文本挖掘抽取疾病与症状间的关系、疾病与疾病间的易误诊关系,建立疾病-症状语义网DSSN。DSSN中包含了疾病本体DO、新构建的症状本体、疾病间的易误诊关系及鉴别诊断知识。最后,通过一个临床诊断中的用例来说明DSSN在临床辅助诊断系统中对易误诊提示的帮助。

A Disease-Symptom Semantic Net（DSSN）for misdiagnosis prompt is constructed.First,symptom words are recognized from medical corpus,and a symptom ontology based on semantic relations between symptom words is established.Then,the relations between diseases and symptoms and the misdiagnosed relations between diseases were test mined and extracted to construct DSSN.DSSN contains Disease Ontology（DO）,new established symptom ontology,misdiagnosed relations between diseases and differential diagnosis knowledge.Finally,a use case in clinical diagnosis is used to illustrate that DSSN is helpful to prompt misdiagnosis in clinical assistance diagnosis system.