Author(s)

Huizi Sun, Xiaoming Dong and Yu Liu

Corresponding Author

Xiaoming Dong

Abstract

At present, data mining technology has been very good development, and has been widely used in many industries and fields, which is very convenient for our life. Data mining technology is also widely used in medicine. On this basis, we improve the traditional Apriori algorithm and construct a data mining method for the front page of medical records, and verify the effectiveness of this method through practical application. On the other hand, we compare the proposed method with the traditional Apriori algorithm, and analyze the efficiency and scalability of the proposed method, so as to highlight the advantages of this method. The results show that when the data volume is 458, 916 and 1374, the running time of the data mining method based on the improved Apriori algorithm is 10s, 28s and 48s respectively, while that of the traditional Apriori algorithm is 20s, 42s and 86s respectively. Therefore, the expansibility of this method is better. This study provides an effective reference value for medical record management.

Keywords

Apriori Algorithm; Medical Record Home Page; Data Mining; Causal Analysis