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陈德彦  等:基于领域语义知识库的疾病辅助诊断方法                                                        3181


         数据对本文建设的领域语义知识库和提出的疾病辅助诊断方法进行了评价,包括与文献[1]中方法的对比、与基
         于统计的方法的对比.对比结果表明,本文方法解决了文献[1]中方法存在的问题和不足.同时,与基于统计的方
         法对比,本文方法可以避免“冷启动”问题,可以快速支撑大量常见疾病的辅助诊断.采用本文的方法,有望为基层
         全科医生提供常见疾病的辅助诊断服务,或者为患者提供疾病自诊服务.
             但本文的方法仍然存在一些不足,这也是下一步需要研究的工作.
             1)  引入更多的诊断要素:针对患者疾病自诊的场景,通过问卷的方式进一步获取年龄、性别、既往病史、
         家族病史等诊断要素;针对院内的辅助诊断,可以从患者的历史诊疗记录中获取既往病史、家族病史、历史检
         查检验结果等信息,也可能得到最新的查体、检查、检验等结果数据;
             2)  对一些常见的疾病直接建立辅助诊断规则,先进行基于规则推理的疾病诊断;
             3)  对本文的方法进行改进,一方面需要考虑多维诊断要素之间存在的关联关系和权重,另一方面需要考虑
         不同诊断要素对疾病诊断的贡献作用.

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