Health Natural Language Processing: Methodology Development and Applications

With the rapid growth of information technology, the necessity for processing substantial amounts of health data using advanced information technologies is increasing. A large amount of valuable data exists in natural text such as diagnosis text, discharge summaries, online health discussions, and e...

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Detalles Bibliográficos
Autores principales: Hao, Tianyong, Huang, Zhengxing, Liang, Likeng, Weng, Heng, Tang, Buzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569540/
https://www.ncbi.nlm.nih.gov/pubmed/34673533
http://dx.doi.org/10.2196/23898
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author Hao, Tianyong
Huang, Zhengxing
Liang, Likeng
Weng, Heng
Tang, Buzhou
author_facet Hao, Tianyong
Huang, Zhengxing
Liang, Likeng
Weng, Heng
Tang, Buzhou
author_sort Hao, Tianyong
collection PubMed
description With the rapid growth of information technology, the necessity for processing substantial amounts of health data using advanced information technologies is increasing. A large amount of valuable data exists in natural text such as diagnosis text, discharge summaries, online health discussions, and eligibility criteria of clinical trials. Health natural language processing, as an interdisciplinary field of natural language processing and health care, plays a substantial role in a wide scope of both methodology development and applications. This editorial shares the most recent methodology innovations of health natural language processing and applications in the medical domain published in this JMIR Medical Informatics special theme issue entitled "Health Natural Language Processing: Methodology Development and Applications".
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spelling pubmed-85695402021-11-17 Health Natural Language Processing: Methodology Development and Applications Hao, Tianyong Huang, Zhengxing Liang, Likeng Weng, Heng Tang, Buzhou JMIR Med Inform Editorial With the rapid growth of information technology, the necessity for processing substantial amounts of health data using advanced information technologies is increasing. A large amount of valuable data exists in natural text such as diagnosis text, discharge summaries, online health discussions, and eligibility criteria of clinical trials. Health natural language processing, as an interdisciplinary field of natural language processing and health care, plays a substantial role in a wide scope of both methodology development and applications. This editorial shares the most recent methodology innovations of health natural language processing and applications in the medical domain published in this JMIR Medical Informatics special theme issue entitled "Health Natural Language Processing: Methodology Development and Applications". JMIR Publications 2021-10-21 /pmc/articles/PMC8569540/ /pubmed/34673533 http://dx.doi.org/10.2196/23898 Text en ©Tianyong Hao, Zhengxing Huang, Likeng Liang, Heng Weng, Buzhou Tang. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 21.10.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Editorial
Hao, Tianyong
Huang, Zhengxing
Liang, Likeng
Weng, Heng
Tang, Buzhou
Health Natural Language Processing: Methodology Development and Applications
title Health Natural Language Processing: Methodology Development and Applications
title_full Health Natural Language Processing: Methodology Development and Applications
title_fullStr Health Natural Language Processing: Methodology Development and Applications
title_full_unstemmed Health Natural Language Processing: Methodology Development and Applications
title_short Health Natural Language Processing: Methodology Development and Applications
title_sort health natural language processing: methodology development and applications
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569540/
https://www.ncbi.nlm.nih.gov/pubmed/34673533
http://dx.doi.org/10.2196/23898
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AT wengheng healthnaturallanguageprocessingmethodologydevelopmentandapplications
AT tangbuzhou healthnaturallanguageprocessingmethodologydevelopmentandapplications

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