Research on the Application of Association Rule Mining in the Diagnosis of Ankylosing Spondylitis
SHENG Xiaobao
WU Xin
Abstract：With the comprehensive popularization of electronic medical records and the sharp increase of medical data such as outpatient and inpatient examination,diagnosis and treatment,valuable knowledge and rules can be found from these data through data mining technology,and association rule mining is an important research field in the field of data mining.This paper constructs model experimental data based on the actual medical records of Shanghai Long March Hospital,uses the Apriori association rule mining algorithm,and verifies some empirical knowledge in the diagnosis of ankylosing spondylitis through the data-driven experi-mental conclusions.At the same time,the potential effective association rules in the data are mined,which have important refer-ence value for the diagnosis and treatment of disease conditions.
Keywords：association rules miningankylosing spondylitisintelligent diagnosisartificial intelligencerheumatism ab-normalities
Publication Date：2025-08-20
Online Publishing Date：2025-12-12(First online date of this platform, not the publication date of the document)
Pages：5( 2108-2111,2132 )