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
ED  - Hersh, William
ED  - Advisor
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
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
PY  - 2019
T1  - Annotating clinical text using a fast healthcare interoperability resources-based drug ontology in a natural language processing system
TI  - Annotating clinical text using a fast healthcare interoperability resources-based drug ontology in a natural language processing system
UR  - https://digitalcollections.ohsu.edu/record/7483/files/leong.wong.2019.pdf
Y1  - 2019
ER  -