-
Written by experts
-
Introductory
-
100% online
-
Video content
-
Multiple choice quiz
-
Approx 10 hours to complete
-
Completion certificate
Write your awesome label here.
Welcome to the Innovation Scholars Data Science Programme. Funded by UKRI, this programme run by Kings College London offers flexible and modular training for health care professionals, researchers and industry partners. This training aims to upskill all in their ability to use and apply big data in their work and research. We hope you will find data and AI training that supports you within the programme.
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.
The course will be delivered through short video lectures, backed up by longer practical/ tutorial sessions. Most of the coding for these practicals is provided for you. However, it is important that you work through the code and understand it.
