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Computer Aided Diagnosis for Cerebral Venous Sinus Thrombosis

  • Lianghui Fan
  • Jungang Han
  • Jiangang Duan
  • Chen Zhao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 856)

Abstract

Cerebral Venous Sinus Thrombosis (CVST) is a rare disease which accounts for about 0.5% to 1% of all strokes. Due to the clinical symptoms lack of specificity, it is easy to be missed and misdiagnose. In order to assist doctors with less experiences, especially doctors in small cities and rural area, with diagnosing the disease as soon as possible, we study the use of Computer Aided Diagnosis (CAD) for CVST. Firstly, according to the various symptoms of CVST, combined with decision tree and expert diagnostic experience, we summarized the knowledge and obtained the 179 rules. To apply these rules in correct order, decision tree is employed to sort the rules into appropriate order according to the information gain rate. Rete algorithm is used to speed up the rule matching process. The CAD system has been tested in the dataset of case from Xuanwu Hospital, Capital, Medical University and can be used in the Web.

Keywords

Cerebral Venous Sinus Thrombosis Computer Aided Diagnosis Decision tree Rete algorithm 

Notes

Acknowledgments

The authors like to thank the support of Xuanwu Hospital, Capital Medical University. This work is partially supported by the Graduate Innovation Foundation in Xi`an University of Posts and Telecommunications under Grant (CXJJ2017018).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Lianghui Fan
    • 1
  • Jungang Han
    • 1
  • Jiangang Duan
    • 2
  • Chen Zhao
    • 1
  1. 1.College of Computer Science and TechnologyXi’an University of Posts and TelecommunicationsXi’anChina
  2. 2.Neurology DepartmentXuanwu Hospital Capital Medical UniversityBeijingChina

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