Identifying Medicare Provider Fraud with Unsupervised Machine Learning

Published: Jul 1, 2018
Abstract
With the increasing number of people ages 65 and older, healthcare programs are being relied on more for quality and affordable care. Given these and other factors, healthcare spending continues to increase, particularly for the elderly. Medicare is one such program affected by the aging population. Fraud in the United States (U.S.) Medicare program is an ongoing issue resulting in higher healthcare costs for beneficiaries. In this paper, we...
Paper Details
Title
Identifying Medicare Provider Fraud with Unsupervised Machine Learning
Published Date
Jul 1, 2018
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