Machine Learning to Determine High Cost Patients

The client has a concern with cost containment and saw a need to build risk models for forecasting future high-cost users. Their need is to have a system for early identification of high-cost users to aid in targeted intervention initiatives and provide a more effective disease and case management program. Ultimate goal is to increase ROI through reduction in risk.

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