Mining Constrained Association Rules to Predict Heart Disease
نویسندگان
چکیده
This work describes our experiences on discovering association rules in medical data to predict heart disease. We focus on two aspects in this work: mapping medical data to a transaction format suitable for mining association rules and identifying useful constraints. Based on these aspects we introduce an improved algorithmto discover constrained association rules. We present an experimental section explaining several interesting discovered rules.
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