Research on TCM Diabetes Assisted Diagnosis and Treatment Plan Integrating Association Mining and Quantitative Calculation

Abstract This paper attempts to explore more precise and intelligent assisted methodological references for the diagnosis and treatment of diabetes in Traditional Chinese Medicine (TCM) by using medical record data from TCM diabetes, and to construct a TCM diabetes assisted diagnosis and treatment framework of “association mining-quantifying calculation-intelligent assisted diagnosis and treatment” what can be described as cluster analyzing and match mining for symptom and drug by association mining, as quantitatively calculating and evaluating for the condition of diabetes; as disease diagnosis, drug recommendation and decision making by intelligent assisted diagnosis and treatment. This paper synthetically employs the technical methodology of association rules, topic clustering, emotion recognition and content recommendation, to realize the knowledge mining, quantify the evaluation and assist decision-making of TCM diabetes, and to propose a reference for the process of consultation and treatment. Overall, the study contributes to the academic and practical value in diabetes by elaborating a new technical methodology and providing a brief empirical test for doctors and researchers.