2 Unlocking information in electronic health records using natural language processing: a case study in medication information extraction
Abstract: Clinical natural language processing (NLP), which can unlock detailed patient information from clinical narratives stored in electronic health records, has been frequently used to support clinical research and operations. This chapter introduces the state-of-the-art work in clinical NLP. Using medication information extraction as a use case, we describe different methods to build clinical NLP systems, including rule-based, machine learning-based, and hybrid approaches. Applications of medication information extraction systems, such as pharmacovigilance (post-market surveillance ...
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