Cluster Analysis on Symptoms and Signs of Traditional Chinese Medicine in 815 Patients with Unstable Angina

Author

He, Qingyong ; Wang, Jie ; Zhang, Yunling ; Tang, Yanli ; Zhang, Yue

Author_Institution

Cardiovascular Dept., China Acad. of Chinese Med. Sci., Beijing, China

Volume

1

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

435

Lastpage

439

Abstract

Cluster analysis is an important branch and effective tool for data mining. And cluster analysis has long played an important role in a wide variety of fields. The traditional Chinese medicine (TCM) diagnosis has been a challenging research problem. This paper introduces an original study between cluster analysis and the symptoms and signs of in patients with UA. We report a cluster analysis to evade this problem. The Enterprise Miner of SAS6.12 version of the software is used. 815 patients with UA were selected and their information about symptoms and signs (about TCM diagnoses) were recorded. There are six main syndromes for UA. The TCM diagnosis of UA was initially set by cluster analysis. And it is basically consistent with clinical practice. Cluster analysis is a powerful tool for exploratory research on the syndrome classification and diagnosis for TCM.

Keywords

data mining; medicine; patient diagnosis; pattern clustering; cluster analysis; data mining; enterprise miner; syndrome classification; traditional chinese medicine diagnosis; unstable angina; Angiography; Cardiology; Data analysis; Data mining; Diseases; Fuzzy systems; Helium; History; Hospitals; Medical diagnostic imaging; cluster analysis; diagnosis; syndrome classification; unstable angina;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.57

Filename

5358558