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        <identifier>oai:meral.edu.mm:recid/5025</identifier>
        <datestamp>2021-12-13T00:34:07Z</datestamp>
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          <dc:title>Implementation of Hypothyroid Diagnosis System using Reduct Generation Algorithm</dc:title>
          <dc:creator>Htay, Ma</dc:creator>
          <dc:creator>Hlaing, Swe Zin</dc:creator>
          <dc:description>Thyroid is one of the most commondiseases found in human being, it is not a deadlydisease, but it is chronic disease which can giverise to other diseases. Hypothyroidism is simplynot enough thyroid hormone and hyperthyroidismis too much. Thus, this system implementsHypothyroid Diagnosis system for people usingreduct generation algorithm. In Reduct generationalgorithm, reduct represents the minimal sets offeatures which are necessary to maintain the sameclassification power given by the original andcomplete set of features. It evaluates theimportance of attributes, discovers the patterns ofdata, reduces all redundant objects and attributes,and seeks the minimum subset of attributes.Moreover, we analyze that reduct generationalgorithm produces rule data sets which are lessthan the number of rules of decision table methodin WEKA open software. In addition, accuracyresult of this system is tested 94% covered by rulesets using holdout method.</dc:description>
          <dc:date>2017-12-27</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000005025</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/5025</dc:identifier>
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