CASIA OpenIR  > 09年以前成果
Comparing data mining methods with logistic regression in childhood obesity prediction
Zhang, Shaoyan; Tjortjis, Christos; Zeng, Xiaojun; Qiao, Hong; Buchan, Iain; Keane, John
2009-09
发表期刊INFORMATION SYSTEMS FRONTIERS
卷号11期号:4页码:449-460
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.
关键词Medical Data Mining Machine Learning Public Health Prediction Accuracy
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12593
专题09年以前成果
通讯作者Tjortjis, Christos
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.
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