United Kingdom
Online Resource
Natural Language Processing for Health Research: Part 1
Much of the information in Electronic Health Records (EHRs) is held in unstructured, natural language text. This is usually in the form of correspondence between clinicians, or short notes added in to the EHR. If we wish to reuse EHRs for research, then we need ways to handle this text.
This course explores Natural Language Processing (NLP), and its use in extracting this information from EHR text. The course aims to equip you with an understanding of NLP and its techniques, in particular when applied to biomedical texts such as the unstructured, free text portion of medical records, in order that you can:
Decide when it is appropriate to use NLP to help with the analysis of medical records and other biomedical text, in terms of:
- Costs and Benefits
- Appreciating the data and language specific to the health domain, including what data is available, and what is needed in order to extract the information required.
Implement NLP solutions based on this decision.
Evaluate the solution.
Investigate ways in which NLP science can be extended to improve performance and tackle new challenges.
Keywords: natural language pro
Target audience: Postgraduate student, Researcher, Clinician, Public sector, Postgraduate researcher
Resource type: Online Resource
Activity log
