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Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record
In an EHR case study, we applied the SDOH extractor to a large clinical data set with 225, 089 patients and 430, 406 notes with social history sections and compared the extracted SDOH information with existing structured data.
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