Knowledge discovery of chronic gastritis diagnosis by logistic discriminant analysis

Logistic regression has been increasingly used in chronic gastritis research. Using expression of logistic discriminant analysis monitored simultaneously by Logit transformation, contribution of gastritis symptom to the certain specific features are distinguished, and chronic gastritis samples are more accurately classified. While Logistic discriminant analysis has been extensively evaluated for dichotomous classification, there are only limited reports on the important issue of multi-class chronic gastritis classification. It needs to explore the logistic discriminant analysis of the multi-class chronic gastritis classification. This research utilizes Logistic discriminant analysis to analyze four kinds of main 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, the probability of a kind of patientpsilas symptom severity appears with the estimation, the knowledge discovery is confirmed. The result presents that the probability that the stomach bloated is normal rather than moderate, man are of womenpsilas 1.838 times.