Identifying key variables in African American adherence to colorectal cancer screening: the application of data mining.

ABSTRACT:

Background

This paper reports on an effort to identify a streamlined set of issues important for colorectal cancer communication and interventions with older African Americans.

Methods

African American (N = 1,021), 683 women and 338 men, 50 to 75 years completed a telephone survey addressing demographics, colorectal cancer screening, cancer attitudes, and cancer related cultural attitudes. Several data analytics methods were applied and evaluated. Among them, results from associative data mining identified key variables and logistic regression was used to confirm associations to screening adherence.

Results

Sets of co-occurring variables identified by associative data mining methods are extracted to further study differences between adherent and non-adherent groups. L

SUBMITTER: Thompson VL 

PROVIDER: S-EPMC4256804 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature