id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-275742-7jxt6diq	Batarseh, Feras A.	Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics	2020-06-23		.txt	text/plain	7208	424	55	Our work's main objective (hypothesis) is two-tier: through one of the largest and most representative national health datasets for population-based surveillance, data imputations and machine learning models (such as clustering) offer preventive care pointers by grouping patients into heterogeneous clusters, and providing data-driven predictions and policies for healthcare in the US. The Center for Disease Control and Prevention (CDC) reported on those states, and presented multiple cases to help increase public trust in immunizations: "We hope this report is a reminder to healthcare professionals to make a strong vaccine recommendation to their patients at every visit and make sure parents understand how important it is for their children to get all their recommended vaccinations on time" [5, 8] . 2. We aim to collect more CDC data variables to provide more correlations and further tests for imputations, and compare with other NHANES predictive models for specific diseases such as periodontitis [39] .	./cache/cord-275742-7jxt6diq.txt	./txt/cord-275742-7jxt6diq.txt