Title :
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
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;
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
DOI :
10.1109/ITIME.2009.5236246
