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PENGEMBANGAN PERANGKAT LUNAK DIAGNOSA PENYAKIT DIABETES MELLITUS TIPE II BERBASIS TEKNIK KLASIFIKASI DATA

Main Authors: Fitri S., Rodiyatul, Tama, Bayu Adhi
Format: Proceeding PeerReviewed application/pdf
Terbitan: , 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access: http://eprints.unsri.ac.id/993/1/PENGEMBANGAN_PERANGKAT_LUNAK_DIAGNOSA_PENYAKIT_DIABETES_MELLITUS_TIPE_II_BERBASIS_TEKNIK_KLASIFIKASI_DATA.pdf
http://eprints.unsri.ac.id/993/
ctrlnum 993
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format Journal:Proceeding
Journal
PeerReview:PeerReviewed
PeerReview
File:application/pdf
File
author Fitri S., Rodiyatul
Tama, Bayu Adhi
title PENGEMBANGAN PERANGKAT LUNAK DIAGNOSA PENYAKIT DIABETES MELLITUS TIPE II BERBASIS TEKNIK KLASIFIKASI DATA
publishDate 2010
topic QA75 Electronic computers. Computer science
url http://eprints.unsri.ac.id/993/1/PENGEMBANGAN_PERANGKAT_LUNAK_DIAGNOSA_PENYAKIT_DIABETES_MELLITUS_TIPE_II_BERBASIS_TEKNIK_KLASIFIKASI_DATA.pdf
http://eprints.unsri.ac.id/993/
contents Type-2 of Diabetes Mellitus (Type II DM) is the most common type of diabetes whose patient about 90-95% of all diabetes population. Early Detection of Type II DM from various risk factors is a way to prevent the complication that causes mortality. Developing software for diagnosis Type II DM could be utilized as an alternative and would enhance medical care for the increasing number of patients. In this paper, the classification technique of data mining with C4.5 algorithm classifier is employed to acquire valuable information and extract pattern from medical record data. This pattern is used as knowledge base in medical diagnosis process. It absolutely helps doctors and other clinicians for making decision through early detection of Type II DM.
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institution Universitas Sriwijaya
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library_id 596
collection Repository Universitas Sriwijaya
repository_id 4554
city KOTA PALEMBANG
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repoId IOS4554
first_indexed 2017-08-30T23:43:32Z
last_indexed 2017-08-30T23:43:32Z
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