Theme Issue 2022: Health Natural Language Processing and Applications

Call for Papers: Natural Language Processing

Call for Papers

With the rapid growth of information technology, there is a great need for the processing of massive health and medical data using advanced information technologies. A large amount of valuable data exists in natural text such as free diagnosis text, discharge summary, online health discussions, and eligibility criteria of clinical trials. Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) language texts. NLP aims to provide a computer program with the ability to process and understand unstructured texts. In the health area, NLP can assist medical decision making by automatically analyzing the commonalities and differences of massive text data and recommending appropriate actions on behalf of domain experts. The state-of-the-art NLP techniques have proven to be useful in dealing with the information overload problem in the health and medical domain, e.g., patient notes aggregation and summarization, treatment analysis, information extraction and retrieval on massive discharge summaries, and semantic understanding of patient queries.

To that end, the China Conference on Health Information Processing (CHIP) proposes this theme issue Health Natural Language Processing and Applications to contribute to the development of this interdisciplinary research area. CHIP is the annual symposium of the Chinese Information Processing Society of China (CIPS) Technical Committee of Medical, Health and Biological Information Processing. CHIP is a leading international conference specialized in the fields of health information processing in China. It serves as a main forum for researchers and practitioners from academia, industry, and government worldwide to share their ideas, research results and experiences for further promotion in the fields. The previous CHIP conferences were successfully held in 2015, 2016, 2017, 2018, 2019, 2020, and 2021. 

CHIP will select the best-scored papers and recommend them for the theme issue. Meanwhile, the submission to this issue is open to the public. In this issue, articles regarding the use of technologies, methodologies, applications for NLP and the health/medical, and viewpoints/reviews are welcome. The theme issue will be expected to show a diversity of new developments in these areas. Authors are encouraged to submit high-quality original research articles mainly describing original research and presenting results that advance the state-of-the-art.

Potential topics include but are not limited to the following:

  • Health information extraction and information retrieval

  • Text mining or machine learning on medical, clinical, or social web data

  • Text corpora and semantic annotations for healthcare

  • Novel tools and ontologies for medical, clinical, or social web data interpretation and visualization

  • Healthcare knowledge representation and reasoning

  • Clinical decision support and informatics

  • Advanced machine learning methods and their applications to medical and health text data

  • NLP techniques for the personalization of medicine

  • NLP assisted health information aggregation, abstraction, and summarization

  • Question answering technologies for health application

  • Innovative NLP systems for mobile environment

  • Health and medical knowledge graphs

  • Health education and its applications

  • Trends and challenges in health and medical NLP


The instructions for authors to prepare this manuscript and use the web-based manuscript submission and tracking system can be accessed at:  

Authors can submit their manuscripts through the online submission system of the JMIR Medical Informatics: 

Articles accepted for the theme issue will receive a 20% discount off the article processing fee. For more information, please see:


Full paper submission opens

31 January 2022

Full paper submission due

21 March 2022 (deadline extended)

First round of reviews

10 May 2022

Final decisions due

10 July 2022

Publication date

August 2022


Guest Editors