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Linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking

Clinical narratives contain useful information that can complement the patient progress records which are obtained throughout the patient’s medical and treatment duration. In order to understand the clinical narratives content, medical concepts that include events and temporal information should be...

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Main Authors: Mohd Sharef, Nurfadhlina, Noura, Mahda
Format: Article
Language:English
Published: Medwell Journals 2016
Online Access:http://psasir.upm.edu.my/id/eprint/54717/1/Linguistic%20rule-based%20methods%20for%20the%20extraction%20of%20medical%20summaries%20to%20benefit%20patients%20progression%20tracking.pdf
http://psasir.upm.edu.my/id/eprint/54717/
https://www.medwelljournals.com/abstract/?doi=jeasci.2016.408.413
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spelling my.upm.eprints.547172018-04-19T07:54:08Z http://psasir.upm.edu.my/id/eprint/54717/ Linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking Mohd Sharef, Nurfadhlina Noura, Mahda Clinical narratives contain useful information that can complement the patient progress records which are obtained throughout the patient’s medical and treatment duration. In order to understand the clinical narratives content, medical concepts that include events and temporal information should be performed. This study addresses this issue based on a linguistic rule-based approach which combines domain knowledge, extraction modules and temporal linker component. This is in contrast to the fundamentals adopted by the major works based on machine learning. The proposed work’s performance is therefore evaluated against a machine learning based approach and a knowledge intensive approach. Results have shown its strength regardless of its different nature. Medwell Journals 2016 Article NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/54717/1/Linguistic%20rule-based%20methods%20for%20the%20extraction%20of%20medical%20summaries%20to%20benefit%20patients%20progression%20tracking.pdf Mohd Sharef, Nurfadhlina and Noura, Mahda (2016) Linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking. Journal of Engineering and Applied Sciences, 11 (3). pp. 408-413. ISSN 1816-949X; ESSN: 1818-7803 https://www.medwelljournals.com/abstract/?doi=jeasci.2016.408.413 10.3923/jeasci.2016.408.413
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Clinical narratives contain useful information that can complement the patient progress records which are obtained throughout the patient’s medical and treatment duration. In order to understand the clinical narratives content, medical concepts that include events and temporal information should be performed. This study addresses this issue based on a linguistic rule-based approach which combines domain knowledge, extraction modules and temporal linker component. This is in contrast to the fundamentals adopted by the major works based on machine learning. The proposed work’s performance is therefore evaluated against a machine learning based approach and a knowledge intensive approach. Results have shown its strength regardless of its different nature.
format Article
author Mohd Sharef, Nurfadhlina
Noura, Mahda
spellingShingle Mohd Sharef, Nurfadhlina
Noura, Mahda
Linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking
author_facet Mohd Sharef, Nurfadhlina
Noura, Mahda
author_sort Mohd Sharef, Nurfadhlina
title Linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking
title_short Linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking
title_full Linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking
title_fullStr Linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking
title_full_unstemmed Linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking
title_sort linguistic rule-based methods for the extraction of medical summaries to benefit patients progression tracking
publisher Medwell Journals
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/54717/1/Linguistic%20rule-based%20methods%20for%20the%20extraction%20of%20medical%20summaries%20to%20benefit%20patients%20progression%20tracking.pdf
http://psasir.upm.edu.my/id/eprint/54717/
https://www.medwelljournals.com/abstract/?doi=jeasci.2016.408.413
_version_ 1643835691506860032
score 13.211869

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