Association rule mining techniques are used to identify
relationships among a set of items in database.[1] These
relationships are not based on inherent properties of the data
themselves(as with functional dependencies), but rather based
on cooccurence of the data items. Association rules are more
appropriate when we search for completely new rules.[1,7]
In this context, the association rule mining technique may
generate the probable causes of the particular disease(Diabetes)
in the form of association rules which can be used for fast and
better clinical decision-making