TY  - GEN
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.
DO  - 10.6083/g732d953h
DO  - DOI
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
T1  - Annotating clinical text using a FHIR-based drug ontology in a natural language processing system
DA  - 2019
AU  - Wong, Leong
L1  - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf
PB  - Oregon Health and Science University
PB  - Oregon Health and Science University
PY  - 2019
ID  - 7483
L4  - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf
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
TI  - Annotating clinical text using a FHIR-based drug ontology in a natural language processing system
Y1  - 2019
L2  - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf
LK  - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf
UR  - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf
ER  -