Table 1 Definitions used in classifying the NLP abstracts

Context of Use:

 Clinical decision support and similar fields

  Studies involved NLP used in diagnosis, prognosis, treatment, outcome, or epidemiological information of a disease (e.g., trend analysis)

 NLP method advancement

  NLP studies with a new NLP method introduced

 Other medical fields

  Medical studies, not categorized in ICD-11 as a disease. These studies include complementary medicine, radiation oncology, nuclear medicine, physician-patient relations, drug research and development, patient-physician communication, chronic diseases,   radiology, dentistry, research, pharmacovigilance, bacterial culture, and antimicrobial susceptibility reports, pharmacology, trend analysis, health education, vaccination, vaccine research, and clinical term normalization

 Bioinformatics

  NLP used in bioinformatics

 Waste basket collections

  Articles not related to medicine

Text Source:

 Not related

  Studies not related to medicine

  Medical studies not associated with NLP

 Electronic medical/health and similar databases

  Studies when NLP ran on Electronic Medical/Health Records or similar databases

 Published medical evidence

  Studies with NLP ran on published medical texts (e.g., published peer-reviewed articles)

 Interview

  Studies with the source being data extracted from interviews (e.g., patient interviews)

 Not defined

  The text source was not identifiable

 Questionnaire

  Data extracted from questionnaires

 Social media

  Social media used as a source

 Website

  Website data such as Wikipedia as a source

 Omics databases

  Source being data extracted from omics repositories

Primary Research Field:

  All medical conditions indexed in ICD-11 22-item chapters