Study on the Association between the Patients' Clinical Background and the Anaerobes by Data Mining In Infectious Diseases Database

Abstract

In this study, we have analyzed the relationship between the patients clinical backgrounds and the anaerobes from 1995 to 1998 in Osaka Prefectural General Hospital by Data Mining in infectious diseases database. As the result of the analysis, the significant rules (If-Then Rules) were discovered. The smaller usage of drugs resulted in the decrease of anaerobes detection. The overuse of drugs appeared to unbalance the normal bacterial flora. From this result, the Lactobacillus Therapy might be regarded as one of the causative factors for the reduction in the detection of anaerobes between 1995 and 1998.