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Automated Detection of Adverse Events Using Natural Language Processing of Discharge Summaries
2005·305 Zitationen·Journal of the American Medical Informatics AssociationOpen Access
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Zitationen
2
Autoren
2005
Jahr
Abstract
Objective: To determine whether natural language processing (NLP) can effectively detect adverse events defined in the New York Patient Occurrence Reporting and Tracking System (NYPORTS) using discharge summaries.
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Institutionen
Themen
Patient Safety and Medication ErrorsPharmaceutical Practices and Patient OutcomesElectronic Health Records Systems