title: Analysis of an environmental exposure health questionnaire in a metropolitan minority population utilizing logistic regression and Support Vector Machines.
abstract: The goal of this study was to analyze a 54-item instrument for assessment of perception of exposure to environmental contaminants within the context of the built environment, or exposome. This exposome was defined in five domains to include 1) home and hobby, 2) school, 3) community, 4) occupation, and 5) exposure history. Interviews were conducted with child-bearing-age minority women at Metro Nashville General Hospital at Meharry Medical College. Data were analyzed utilizing DTReg software for Support Vector Machine (SVM) modeling followed by an SPSS package for a logistic regression model. The target (outcome) variable of interest was respondent's residence by ZIP code. The results demonstrate that the rank order of important variables with respect to SVM modeling versus traditional logistic regression models is almost identical. This is the first study documenting that SVM analysis has discriminate power for determination of higher-ordered spatial relationships on an environmental exposure history questionnaire.
authors: Department of Institutional Research at Meharry Medical College, Nashville, TN 37208, USA.
authors: Chau-Kuang
authors: CK
authors: Chen
authors: Michelle
authors: M
authors: Bruce
authors: Lauren
authors: L
authors: Tyler
authors: Claudine
authors: C
authors: Brown
authors: Angelica
authors: A
authors: Garrett
authors: Susan
authors: S
authors: Goggins
authors: Brandy
authors: B
authors: Lewis-Polite
authors: Mirabel L
authors: ML
authors: Weriwoh
authors: Paul D
authors: PD
authors: Juarez
authors: Darryl B
authors: DB
authors: Hood
authors: Tyler
authors: T
authors: Skelton
mesh_terms: D000293:Adolescent; D000328:Adult; D001741:Black or African American / Q000523:psychology / Q000706:statistics & numerical data; D001294:Attitude to Health / Q000208:ethnology; D004781:Environmental Exposure / Q000706:statistics & numerical data*; D005260:Female; D005845:Georgia; D006630:Hispanic or Latino / Q000523:psychology / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D054525:Minority Health; D036301:Qualitative Research; D015203:Reproducibility of Results; D060388:Support Vector Machine; D011795:Surveys and Questionnaires; D013714:Tennessee; D014504:Urban Health / Q000208:ethnology*; D055815:Young Adult
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