Classification of Tibetan Medical Syndrome Based on Class Association Rules

摘要

This paper put forward a classification model of Tibetan medical syndrome of common plateau disease (Chronic Atrophic Gastritis) based on the class association rules. Taking the clinical diagnosis and treatment data of Chronic Atrophic Gastritis provided by Qinghai Provincial Tibetan Hospital as the research object. Firstly, using the clustering algorithm to divide syndrome normalized. Secondly, the constraint-based Apriori algorithm is applied to mine the strong association rules between symptoms and syndrome after pruning and prioritizing these rules, and the classification model of the Tibetan medical syndrome is established by selecting a set with high-priority rules. Finally, the accuracy of the classification model is verified and compared with four traditional classification algorithms to prove the effectiveness of the proposed method. The experimental results showed that the proposed method outperformed most other traditional classification algorithms with an accuracy of 82.72%.