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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedYoon S, Co MC, Jr., Suero-Tejeda N
A data mining approach for exploring correlates of self-reported comparative physical activity levels of urban Latinos.
The authors applied data mining techniques to a community-based behavioral dataset to build prediction models to gain insights about physical activity levels as the foundation for future interventions for urban Latinos. They identified environment factors and psychological factors. They concluded that the data mining methods were useful to build prediction models to gain insights about perceptions of physical activity behavior as compared to peers.
AHRQ-funded; HS019853; HS022961.
Citation: Yoon S, Co MC, Jr., Suero-Tejeda N .
A data mining approach for exploring correlates of self-reported comparative physical activity levels of urban Latinos.
Stud Health Technol Inform 2016;225:553-7.
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Keywords: Data, Lifestyle Changes, Racial and Ethnic Minorities, Racial and Ethnic Minorities, Urban Health