Software Technology Research
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461-465

Assistant decision-making system based on international diagnostic criteria for primary headache disorders

Yin Ziming1
Dong Zhao2
Kong Xiangyong1
1. School of Medical Instrument & Food Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
2. Dept. of Neurology, Chinese PLA General Hospital, Beijing 100853, China

Abstract

In order to overcome the problem of high morbidity and low diagnostic accuracy of primary headaches in China, this paper proposed a clinical knowledge modeling and knowledge base constrcuting method that translating text-based diagnostic criteria to computer execuable knowledge. This method first translated diagnostic criteria based flow chart of diagnostic thoughts to clinical knowledge representation model, then translated clinical knowledge representation model to reasoning rules by rules-mapping technique. On the basis of the above method, it developed an assistant decision-making system for primary headaches. Clinical evaluation shows that this system can recognize 91.3% of migraine, 87.2% of tension-type headache, 90.0% of cluster headache, and therefore achieve a relatively high success rate for common primary headaches.

Foundation Support

国家自然科学基金资助项目(81471146)
首都卫生发展科研专项资助项目(2014-4-5013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0902
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Software Technology Research
Pages: 461-465
Serial Number: 1001-3695(2019)02-031-0461-05

Publish History

[2019-02-05] Printed Article

Cite This Article

尹梓名, 董钊, 孔祥勇. 基于国际头痛诊断标准的原发性头痛辅助决策系统 [J]. 计算机应用研究, 2019, 36 (2): 461-465. (Yin Ziming, Dong Zhao, Kong Xiangyong. Assistant decision-making system based on international diagnostic criteria for primary headache disorders [J]. Application Research of Computers, 2019, 36 (2): 461-465. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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