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Identifying future high-cost patients allows healthcare organizations to take preventative measures to both reduce future patient costs and lessen the burden of illness. This paper expands upon past risk adjustment strategies to predict the persistently high-cost patients by combining clinical and claims data on patients and assessing risk using machine learning techniques. Our approach not only leads...
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