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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Bibliographic Details
Published in:JMIR medical informatics Vol. 9; no. 10; p. e23898
Main Authors: Hao, Tianyong, Huang, Zhengxing, Liang, Likeng, Weng, Heng, Tang, Buzhou
Format: Journal Article
Language:English
Published: Toronto JMIR Publications 21.10.2021
Subjects:
Artificial intelligence
Clinical trials
Datasets
Decision making
Deep learning
Electronic health records
Fraud
Health informatics
Knowledge representation
Language
Lung cancer
Machine learning
Medical records
Medical research
Natural language processing
Neural networks
Semantics
Social networks
Subject specialists
Traditional Chinese medicine
China
ISSN:2291-9694, 2291-9694
Online Access:Get full text
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Summary: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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ISSN:2291-9694
2291-9694
DOI:10.2196/23898