PREDICTIVE MODELING OF CHRONIC DISEASE USING DATA MINING

PURPOSE: A chronic disease generation possibility prediction model is provided to predict the generation of the chronic disease by obtaining the relation between the occurrence of a chronic disease and a normal factor. CONSTITUTION: A system divides chronic disease occurrence possibility by calculat...

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Bibliographic Details
Main Author KIM, EUN YEOB
Format Patent
LanguageEnglish
Korean
Published 14.02.2013
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:PURPOSE: A chronic disease generation possibility prediction model is provided to predict the generation of the chronic disease by obtaining the relation between the occurrence of a chronic disease and a normal factor. CONSTITUTION: A system divides chronic disease occurrence possibility by calculating a physical factor, a chronic disease factor, an oral learning factor, a scaling factor, a sealant factor, a dental clinic visiting factor, and a habit index factor. A chronic disease generation possibility prediction model includes physical factors like the age, the sex, the extension, a weight, and a body mass index.
Bibliography:Application Number: KR20110077204