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<title><![CDATA[Prediction Diabetes Mellitus Using Decision Tree 
Models]]></title>
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<namePart>Aswan Supriyadi Sunge</namePart>
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<namePart>Harco Leslie Hendric S. Warnar</namePart>
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<namePart>Yaya Heryadi</namePart>
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<namePart>Edi Abdurachman</namePart>
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<namePart>Benfano Soewito</namePart>
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<name type="Personal Name" authority="">
<namePart>Ford Lumban Gaol</namePart>
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<place><placeTerm type="text"><![CDATA[US and Canada]]></placeTerm></place>
<publisher><![CDATA[IEEE]]></publisher>
<dateIssued><![CDATA[2019]]></dateIssued>
<issuance><![CDATA[monographic]]></issuance>
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<languageTerm type="text"><![CDATA[English]]></languageTerm>
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<note>— Health is an essential thing in human life, but 
Indonesian people are still far from the word healthy lifestyle. One 
disease that can be caused by an unhealthy lifestyle is diabetes 
mellitus that can cause many deaths. So far, there are many data 
in the hospital, but the data can not be maximized well even if it 
can be used to predict diabetes. The need for accuracy to produce 
better results. In conducting this test, the results obtained using C 
4.5 only algorithm is 72.08%</note>
<subject authority=""><topic><![CDATA[Diabetes Melitus]]></topic></subject>
<subject authority=""><topic><![CDATA[C4.5 Algoritm]]></topic></subject>
<subject authority=""><topic><![CDATA[Decision Tree]]></topic></subject>
<subject authority=""><topic><![CDATA[Data Mining]]></topic></subject>
<classification><![CDATA[NONE]]></classification><identifier type="isbn"><![CDATA[]]></identifier><location>
<physicalLocation><![CDATA[Repository Local Content Institut Transportasi dan Logistik TRISAKTI]]></physicalLocation>
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