LDA-Based Model for Traditional Chinese Medicine Diagnosis

被引：0

作者：

Tan, Qian ^{[1
]}

Zhang, Bin ^{[2
]}

Jiang, Yi ^{[1
]}

Lin, Fan ^{[3
]}

Xu, Zhuxiang ^{[3
]}

机构：

[1] Xiamen Univ, Sch Informat Sci & Technol, Xiamen, Peoples R China

[2] Xiamen Univ, Smart Med Lab Software Sch, Xiamen, Peoples R China

[3] Xiamen Univ, Sch Software, Xiamen, Peoples R China

来源：

2013 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT) | 2013年

关键词：

Traditional Chinese medicine diagnosis and treatment; Potential Lejeune Dirichlet Allocation model; Gibbs sampling; multi-relationship topic;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on Lejeune Dirichlet allocation (LDA) model and multi-relationship topic model in Diagnosis and treatment of traditional Chinese medicine (TCM), the Symptom TCMTreatment Diagnosis (STTD) model is purposedto extract topic structure of symptom, TCM, treatment and diagnosis from TCM clinical datum.This paper uses Gibbs sampling to do parameters reasoning and confirms the optimalnumber of topicsaccording to the average similarity amongtopics. From the experimental results, given the symptoms of patient, STTD model can predicts treatment, result of diagnosis, TCM and the distribution of topic. And it is available for clinical doctors and researchers.

引用

页码：426 / 429

页数：4

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