When association rules are applied on a medical dataset, they produce an extremely large number of rules. Most of such rules are medically. A more important issue is that, in general, association rules are mined on the entire dataset without validation on an independent sample. To solve these limitations, the author has introduced an algorithm that uses search constraints to reduce the number of rules.