TY - GEN AB - The objectives of this project are to develop a medication natural language processing (NLP) system that was derived from MedXN and to evaluate its performance in annotating medication name, dose, route, frequency, and duration using the 2009 i2b2 Medication Extraction Challenge dataset. AD - Oregon Health and Science University AU - Wong, Leong DA - 2019 DO - 10.6083/g732d953h DO - DOI ID - 7483 KW - Biological Ontologies KW - Natural Language Processing KW - Methods KW - Information Storage and Retrieval KW - RxNorm KW - Health Information Interoperability KW - Electronic Health Records KW - standards L1 - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf L2 - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf L4 - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf LK - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf N2 - The objectives of this project are to develop a medication natural language processing (NLP) system that was derived from MedXN and to evaluate its performance in annotating medication name, dose, route, frequency, and duration using the 2009 i2b2 Medication Extraction Challenge dataset. PB - Oregon Health and Science University PB - Oregon Health and Science University PY - 2019 T1 - Annotating clinical text using a FHIR-based drug ontology in a natural language processing system TI - Annotating clinical text using a FHIR-based drug ontology in a natural language processing system UR - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf Y1 - 2019 ER -