Applicability of Apriori Based Association Rules on Medical Data: Identification of Associations on Medical Data/Heart disease Dataset using Apriori Based Algorithm

摘要

With the growing demand of medical data processing and predictive analysis, finding the frequent itemset and association rules are becoming the major focus of the research. The association rule based analysis helps the researchers and analysts to identify the relations and dependencies between various parameters in the dataset. This knowledge can be useful in identifying the cause of the disease for the patient. Voluminous amount of researches are been conducted in order to establish the best association rule mining algorithm similar to Apriori algorithm. Nevertheless, the improvements can be demonstrated. Hence, this work proposes an Apriori association rule discovery based technique and demonstrate the improvements over the existing research methods. Another significant outcome of this work is to establish the relationships between the healthcare parameters with the heart disease symptoms. The work is targeted to improve the precaution measures for the patients in order to save the precious human life.