Health Natural Language Processing: Methodology Development and Applications | Zendy

Tianyong Hao | Zendy; Zhengxing Huang | Zendy; Likeng Liang | Zendy; Heng Weng | Zendy; Buzhou Tang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Health Natural Language Processing: Methodology Development and Applications

Author(s) -

Tianyong Hao,

Zhengxing Huang,

Likeng Liang,

Heng Weng,

Buzhou Tang

Publication year - 2021

Publication title -

jmir medical informatics

Language(s) - English

Resource type - Journals

ISSN - 2291-9694

DOI - 10.2196/23898

Subject(s) - scope (computer science) , computer science , health informatics , data science , health care , natural language , domain (mathematical analysis) , knowledge management , natural language processing , political science , mathematical analysis , mathematics , law , programming language

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".

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research