Using the Electronic Medical Record to Identify Patients at High Risk for Frequent Emergency Department Visits and High System Costs
July 28, 2017 
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A small proportion of patients account for a high proportion of healthcare use. Accurate preemptive identification may facilitate tailored intervention. We sought to determine whether machine learning techniques using text from a family practice electronic medical record can be used to predict future high emergency department use and total costs by patients who are not […]
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