Abstract
Background/Aims: Structured data in the electronic health record only tell part of the story of a patient’s health. Much of the information necessary for health assessment and treatment is located in notes. This information is vital for maintaining care quality as well as for use in research. Manual abstraction of this information is costly and time consuming. The goal of this study was to develop a natural language processing (NLP) system to extract health information from provider notes.
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