Knowledge discovery of chronic gastritis diagnosis by inferences and predictions

Author

Chen, Tong-Sheng ; Li, Shao-Zi ; Zhou, Chang-Le

Author_Institution

Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China

Volume

1

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

1122

Lastpage

1127

Abstract

This research utilizes logistic discriminant analysis and proportional odds model to analyze four symptoms of chronic gastritis patient: Belch, the body is tired and weak (weakness), stomachache (ache) and the bloated state of stomach (stomach bloated) severity with sex, age is related, and three syndromes, in coordination between liver and stomach (INCRD), deficiency of spleen and stomach (DEFSS), dampness-heat of spleen and stomach (DAMPH). The result presents both belch and weakness are related with syndromes. The results indicates that the odds ratio of belch severity 1 is about 2.596 fold for DEFSS compared to DAMPH patient.

Keywords

data mining; diseases; inference mechanisms; liver; medical diagnostic computing; belch severity; chronic gastritis diagnosis; inference mechanism; knowledge discovery; liver; logistic discriminant analysis; proportional odds model; spleen dampness heat; spleen deficiency; stomach dampness heat; stomachache; Artificial intelligence; Diseases; Hospitals; Information analysis; Information science; Liver; Logistics; Medical diagnostic imaging; Predictive models; Stomach;

fLanguage

English

Publisher

ieee

Conference_Titel

IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on

Conference_Location

Jinan

Print_ISBN

978-1-4244-3928-7

Electronic_ISBN

978-1-4244-3930-0

Type

conf

DOI

10.1109/ITIME.2009.5236246

Filename

5236246