The Super Annotator: A Method of Semi-Automated Rare Event Identification for Large Clinical Data Sets
نویسندگان
چکیده
Detecting rare events in an electronic medical record (EMR) is similar to searching for a needle in a haystack. Automated methods (natural language processing) and manual methods (chart review) can be used. However, when events are rare and the patient population is large, manual annotation may not be feasible and NLP alone may not be able to reach acceptable levels of performance. We propose a semi-automated method for NLP-assisted retrieval of relevant documents and manual review of the resulting instances. This method was developed to identify medication-related adverse events among patients receiving care in the U.S. Department of Veterans Affairs. METHODS
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