Abstract:
Thyroid is one of the most common
diseases found in human being, it is not a deadly
disease, but it is chronic disease which can give
rise to other diseases. Hypothyroidism is simply
not enough thyroid hormone and hyperthyroidism
is too much. Thus, this system implements
Hypothyroid Diagnosis system for people using
reduct generation algorithm. In Reduct generation
algorithm, reduct represents the minimal sets of
features which are necessary to maintain the same
classification power given by the original and
complete set of features. It evaluates the
importance of attributes, discovers the patterns of
data, reduces all redundant objects and attributes,
and seeks the minimum subset of attributes.
Moreover, we analyze that reduct generation
algorithm produces rule data sets which are less
than the number of rules of decision table method
in WEKA open software. In addition, accuracy
result of this system is tested 94% covered by rule
sets using holdout method.
