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PREDICTIVE MODELING OF CHRONIC DISEASE USING DATA MINING

机译:数据挖掘对慢性病的预测建模

摘要

PURPOSE: the generation of chronic disease may be provided to the relationship between the generation of prediction prediction model, by the generation chronic disease and a normal factor that obtain chronic disease. ;CONSTITUTION: a kind of system divides a possibility that chronic disease occurs, and passes through and calculates physical factor, chronic disease factor, takes orally learning study, proportionality coefficient, the sealant factor, and dental clinic's access factor is accustomed to index factor. A possibility that chronic disease generates prediction model, including physical factor, such as age, gender, extension, weight, ontology block index. ;The 2013 of copyright KIPO submissions
机译:目的:慢性疾病的发生可以通过慢性疾病的发生与获得慢性疾病的正常因素之间的关系提供给预测预测模型的产生。构成:一种系统划分慢性病发生的可能性,并通过计算物理因素,慢性病因素,进行口语学习,比例系数,密封剂因素以及牙科诊所的进入因素习惯作为指标因素。慢性疾病生成预测模型的可能性,包括身体因素,例如年龄,性别,外延,体重,本体阻滞指数。 ; 2013年版权KIPO提交文件

著录项

  • 公开/公告号KR20130015301A

    专利类型

  • 公开/公告日2013-02-14

    原文格式PDF

  • 申请/专利权人 KIM EUN YEOB;

    申请/专利号KR20110077204

  • 发明设计人 KIM EUN YEOB;

    申请日2011-08-03

  • 分类号G06F19/00;

  • 国家 KR

  • 入库时间 2022-08-21 16:27:42

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