Comparing data mining methods with logistic regression in childhood obesity prediction
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
identified from their early growth records?” Pilot work using logistic regression to predict …