中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparing data mining methods with logistic regression in childhood obesity prediction

文献类型:期刊论文

作者Zhang, Shaoyan; Tjortjis, Christos; Zeng, Xiaojun; Qiao, Hong; Buchan, Iain; Keane, John
刊名INFORMATION SYSTEMS FRONTIERS
出版日期2009-09
卷号11期号:4页码:449-460
关键词Medical data mining Machine learning Public health Prediction Accuracy
通讯作者Tjortjis, Christos
英文摘要The epidemiological question of concern here is "can young children at risk of obesity be identified from their early growth records?" Pilot work using logistic regression to predict overweight and obese children demonstrated relatively limited success. Hence we investigate the incorporation of non-linear interactions to help improve accuracy of prediction; by comparing the result of logistic regression with those of six mature data mining techniques.

The contributions of this paper are as follows: a) a comparison of logistic regression with six data mining techniques: specifically, for the prediction of overweight and obese children at 3 years using data recorded at birth, 6 weeks, 8 months and 2 years respectively; b) improved accuracy of prediction: prediction at 8 months accuracy is improved very slightly, in this case by using neural networks, whereas for prediction at 2 years obtained accuracy is improved by over 10%, in this case by using Bayesian methods. It has also been shown that incorporation of non-linear interactions could be important in epidemiological prediction, and that data mining techniques are becoming sufficiently well established to offer the medical research community a valid alternative to logistic regression.
源URL[http://ir.ia.ac.cn/handle/173211/12593]  
专题自动化研究所_09年以前成果
作者单位Univ Manchester, Sch Comp Sci
推荐引用方式
GB/T 7714
Zhang, Shaoyan,Tjortjis, Christos,Zeng, Xiaojun,et al. Comparing data mining methods with logistic regression in childhood obesity prediction[J]. INFORMATION SYSTEMS FRONTIERS,2009,11(4):449-460.
APA Zhang, Shaoyan,Tjortjis, Christos,Zeng, Xiaojun,Qiao, Hong,Buchan, Iain,&Keane, John.(2009).Comparing data mining methods with logistic regression in childhood obesity prediction.INFORMATION SYSTEMS FRONTIERS,11(4),449-460.
MLA Zhang, Shaoyan,et al."Comparing data mining methods with logistic regression in childhood obesity prediction".INFORMATION SYSTEMS FRONTIERS 11.4(2009):449-460.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。