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 discuss...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2021-10-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2021/10/e23898 |
| _version_ | 1797735616514883584 |
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| author | Tianyong Hao Zhengxing Huang Likeng Liang Heng Weng Buzhou Tang |
| author_facet | Tianyong Hao Zhengxing Huang Likeng Liang Heng Weng Buzhou Tang |
| author_sort | Tianyong Hao |
| collection | DOAJ |
| 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". |
| first_indexed | 2024-03-12T13:01:37Z |
| format | Article |
| id | doaj.art-98c969d0163b4237a65e2835ae4ca7e8 |
| institution | Directory Open Access Journal |
| issn | 2291-9694 |
| language | English |
| last_indexed | 2024-03-12T13:01:37Z |
| publishDate | 2021-10-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Medical Informatics |
| spelling | doaj.art-98c969d0163b4237a65e2835ae4ca7e82023-08-28T19:34:14ZengJMIR PublicationsJMIR Medical Informatics2291-96942021-10-01910e2389810.2196/23898Health Natural Language Processing: Methodology Development and ApplicationsTianyong Haohttps://orcid.org/0000-0002-9792-3949Zhengxing Huanghttps://orcid.org/0000-0002-2644-8642Likeng Lianghttps://orcid.org/0000-0003-0744-2955Heng Wenghttps://orcid.org/0000-0002-5203-8663Buzhou Tanghttps://orcid.org/0000-0003-0271-8246 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".https://medinform.jmir.org/2021/10/e23898 |
| spellingShingle | Tianyong Hao Zhengxing Huang Likeng Liang Heng Weng Buzhou Tang Health Natural Language Processing: Methodology Development and Applications JMIR Medical Informatics |
| 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 |
| url | https://medinform.jmir.org/2021/10/e23898 |
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