摘要
介绍人工智能在医学领域的应用,通过自然语言处理方法自动构建基于"疾病-症候-特征"3层结构模型的医学诊断知识图谱,具体阐述智能构建方法与构建过程,将其运用到临床决策支持系统中检测临床疗效,结果表明通过该方法构建的医学知识图谱具有效率高、疾病诊断正确率高等特点。
The paper introduces the application of Artificial Intelligence（AI） in medical domain, the medical diagnosis knowledge graph is built based on the 3-layer model of ＂disease-symptom-feature＂ through natural language processing, and it dilates upon the intelligent building method and its application in the Clinical Decision Supporting System（CDSS） for the detection of clinical efficacy, the results demonstrate that the medical diagnosis knowledge graph built with the method features high efficiency and high accuracy of disease diagnosis.
作者
聂莉莉
李传富
许晓倩
朱川川
徐志鹏
武红利
NIE Li-li;LI Chuan-fu;XU Xiao-qian;ZHU Chuan-chuan;XU Zhi-peng;WU Hong-li(Anhui University of Traditional Chinese Medicine,Hefei 230000,Chin;The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine,Hefei 230000,China)
出处
《医学信息学杂志》
CAS
2018年第6期7-12,共6页
Journal of Medical Informatics
基金
国家自然科学基金资助项目"面向全科医学诊断知识图谱的自动化构建方法研究"(项目编号:6187020839)
关键词
人工智能
知识图谱
自然语言处理
正则表达式
隐马尔可夫模型
Artificial Intelligence （AI）
Knowledge graph
Natural language processing
Regular expression
Hidden Markov Model
