%0 Journal Article
%@ 2291-9694
%I JMIR Publications
%V 9
%N 10
%P e23898
%T Health Natural Language Processing: Methodology Development and Applications
%A Hao,Tianyong
%A Huang,Zhengxing
%A Liang,Likeng
%A Weng,Heng
%A Tang,Buzhou
%+ School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, L1819, Harbin Institute of Technology Campus, Xili University Town, Nanshan, Shenzhen, 518055, China, 86 0755 26033182, tangbuzhou@gmail.com
%K health care
%K unstructured text
%K natural language processing
%K methodology
%K application
%D 2021
%7 21.10.2021
%9 Editorial
%J JMIR Med Inform
%G English
%X 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".
%M 34673533
%R 10.2196/23898
%U https://medinform.jmir.org/2021/10/e23898
%U https://doi.org/10.2196/23898
%U http://www.ncbi.nlm.nih.gov/pubmed/34673533