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 |