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A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records
Rare diseases are very difficult to identify among large number of other possible diagnoses.
Using Natural Language Processing to Screen Patients with Active Heart Failure: An Exploration for Hospital-wide Surveillance
In this paper, we proposed two different approaches, a rule-based approach and a machine-learning based approach, to identify active heart failure cases automatically by analyzing electronic health records (EHR).
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