id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_krrqblgh6fb2jce4fr2c4f4o7q	Dursun Delen	Analysis of healthcare coverage: A data mining approach	2009	3	.pdf	application/pdf	1546	98	53	The existing disparity in the healthcare coverage is a pressing issue in the United States. healthcare coverage and much research is needed to identify the factors leading to this phenomenon. the healthcare coverage of individuals by applying popular machine learning techniques on a wide-variety of predictive factors. Twentythree variables and 193,373 records were utilized from the 2004 behavioral risk factor surveillance system survey data for this study. Using two popular machine learning techniques, this study identified the factors that likely to be without healthcare coverage through the application of accurate classification models can potentially be used in reducing the Keywords: Healthcare coverage; Data mining; Prediction; Classification; Neural networks; Decision trees Race or ethnicity may also be a factor contributing to healthcare coverage disparity (Carrasquillo have succeeded in identifying variables that seem to contribute to the disparity in healthcare coverage for the subgroup. This study will look at healthcare coverage disparity across	./cache/work_krrqblgh6fb2jce4fr2c4f4o7q.pdf	./txt/work_krrqblgh6fb2jce4fr2c4f4o7q.txt