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Annotating clinical text using a fast healthcare interoperability resources-based drug ontology in a natural language processing system
Wong, Leong
2019
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Abstract

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.

Details

Title
Annotating clinical text using a fast healthcare interoperability resources-based drug ontology in a natural language processing system
Creator
Wong, Leong : Oregon Health and Science University : (0000-0001-9862-9576)
Contributor
Hersh, William Advisor (Oregon Health and Science University)
Publisher
Oregon Health and Science University
Date
2019
Subjects
DOI
https://doi.org/10.6083/g732d953h
Content Type
Capstone
Degree Type
M.B.I.
Academic Program
Health & Clinical Informatics
Department
Department of Medical Informatics and Clinical Epidemiology
School
School of Medicine
Copyright Status
Record ID
7483
Record Created
2023-06-29
Record Appears in
Organizations > Departments and Divisions > School of Medicine Clinical Sciences Departments and Divisions > Department of Medical Informatics and Clinical Epidemiology
OHSU Works > Student Work > Academic Programs > School of Medicine Programs > Health & Clinical Informatics
OHSU Works > Student Work > Degrees > Master in Biomedical Informatics (M.B.I.)
Organizations > Schools > School of Medicine
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