Profiling women's breast cancer screening practices using data mining

Abstract

Breast cancer is a major chronic disease and early identification is necessary for treatment. Mammograms are clinical tests that increase the detection of breast cancer. Funded by the Centers for Disease Control and Prevention and the Missouri Department of Health and Senior Services, this preliminary work identifies profiles of women's breast cancer screening practices based on socio-economic factors using a data mining technique called CHAID. Major factors include age, cost of access, income and number of children in household. Originally presented at American Medical Informatics Association conference 2009.