Leveraging data mining techniques to understand drivers of obesity

Abstract

Substantial research has been carried out to explain the effects of economic variables on obesity, typically considering only a few factors at a time, using parametric linear regression models. Recent studies have made a significant contribution by examining economic factors affecting body weight using the Behavioral Risk Factor Surveillance System data… (More)
DOI: 10.1109/CIBCB.2017.8058521

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Cite this paper

@article{Salehnejad2017LeveragingDM, title={Leveraging data mining techniques to understand drivers of obesity}, author={Reza Salehnejad and R. Allmendinger and Y.-W. Chen and M. Ali and A. Shahgholian and P. Yiapanis and M. Mansur}, journal={2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)}, year={2017}, pages={1-9} }