Stanford Team's Text Mining Approach Extracts Useful Information from Clinicians' Notes | GenomeWeb

Stanford University researchers have developed a method of extracting useful information from unstructured clinical notes in electronic health records.

The approach uses ontologies such as the National Library of Medicine's Unified Medical Language System to annotate medical concepts in the notes so that can be mined and analyzed to obtain useful information for things like drug safety studies, hypothesis testing, profiling off-label drug use, and more.

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