Journal
JMIR MEDICAL INFORMATICS
Volume 9, Issue 10, Pages -Publisher
JMIR PUBLICATIONS, INC
DOI: 10.2196/23898
Keywords
health care; unstructured text; natural language processing; methodology; application
Categories
Funding
- National Natural Science Foundation of China [61871141, 61772146, 61672450]
- Guangzhou Science Technology and Innovation Commission [201803010063]
- National Natural Science Foundations of China [U1813215, 61876052]
- Special Foundation for Technology Research Program of Guangdong Province [2015B010131010]
- National Natural Science Foundation of Guangdong, China [2019A1515011158]
- Strategic Emerging Industry Development Special Fund of Shenzhen [JCYJ20180306172232154]
- Innovation Fund of Harbin Institute of Technology [HIT.NSRIF.2017052]
- Guangdong Province Covid-19 Pandemic Control Research Fund [2020KZDZX1222]
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With the rapid growth of information technology, the necessity for processing substantial amounts of health data using advanced information technologies is increasing. Health natural language processing, as an interdisciplinary field, plays a substantial role in methodology development and applications in the medical domain.
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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