Using Natural Language Processing to Identify Low Back Pain in Imaging Reports
A natural language processing (NLP) pipeline was developed to identify lumbar spine imaging findings associated with low back pain (LBP) in X-radiation (X-ray), computed tomography (CT), and magnetic resonance imaging (MRI) reports. A total of 18,640 report datasets were randomly sampled (stratified...
Main Authors: | Yeji Kim, Chanyoung Song, Gyuseon Song, Sol Bi Kim, Hyun-Wook Han, Inbo Han |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/24/12521 |
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