机构：[1]College of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China[2]Neurology Department, Xuanwu Hospital Capital Medical University, Beijing, China神经内科首都医科大学宣武医院
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. ? Springer Nature Switzerland AG 2019.
基金：
This work is partially supported by the Graduate Innovation Foundation in Xi`an University of Posts and Telecommunications under Grant (CXJJ2017018).
语种：
外文
第一作者：
第一作者机构：[1]College of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China
通讯作者：
通讯机构：[1]College of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China
推荐引用方式(GB/T 7714)：
Lianghui Fan,Jungang Han,Jiangang Duan,et al.Computer aided diagnosis for cerebral venous sinus thrombosis[J].Advances in Intelligent Systems and Computing.2019,856:doi:10.1007/978-3-030-00214-5_136.
APA：
Lianghui Fan,Jungang Han,Jiangang Duan&Chen Zhao.(2019).Computer aided diagnosis for cerebral venous sinus thrombosis.Advances in Intelligent Systems and Computing,856,
MLA：
Lianghui Fan,et al."Computer aided diagnosis for cerebral venous sinus thrombosis".Advances in Intelligent Systems and Computing 856.(2019)
