Comparing data mining methods with logistic regression in childhood obesity prediction

S Zhang, C Tjortjis, X Zeng, H Qiao, I Buchan… - Information Systems …, 2009 - Springer
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 …

Comparing data mining methods with logistic regression in childhood obesity prediction

S Zhang, C Tjortjis, X Zeng, H Qiao… - Information Systems …, 2009 - ideas.repec.org
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 …

Comparing data mining methods with logistic regression in childhood obesity prediction

S Zhang, C Tjortjis, X Zeng, H Qiao, I Buchan… - Information Systems …, 2009 - dl.acm.org
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 …

Comparing data mining methods with logistic regression in childhood obesity prediction

S Zhang, C Tjortjis, X Zeng, H Qiao… - Information …, 2009 - research.manchester.ac.uk
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 …

Comparing data mining methods with logistic regression in childhood obesity prediction

S Zhang, C Tjortjis, X Zeng, H Qiao, I Buchan… - Information Systems …, 2009 - infona.pl
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 …

Comparing data mining methods with logistic regression in childhood obesity prediction

S Zhang, C Tjortjis, X Zeng, H Qiao… - Information Systems …, 2009 - search.proquest.com
in childhood obesity prediction Page 1 Inf Syst Front (2009) 1124494160 DOI 10.1007/510796-009-9157-0
Comparing data mining methods with logistic regression in childhood obesity prediction …

Comparing data mining methods with logistic regression in childhood obesity prediction

S Zhang, C Tjortjis, X Zeng, H Qiao, I Buchan… - Inf Syst Front, 2009 - openreview.net
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 …

Comparing data mining methods with logistic regression in childhood obesity prediction

S Zhang, C Tjortjis, X Zeng, H Qiao… - Information Systems …, 2009 - econpapers.repec.org
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 …

Comparing data mining methods with logistic regression in childhood obesity prediction.

S Zhang, C Tjortjis, X Zeng, H Qiao… - Information Systems …, 2009 - search.ebscohost.com
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 …

[引用][C] Comparing data mining methods with logistic regression in childhood obesity prediction

S Zhang, C Tjortjis, X Zeng, H Qiao, I Buchan… - Information systems …, 2009 - Springer