Training activity information
Details
Pre-process and analyse unstructured clinical data using NLP techniques
Type
Developmental training activity (DTA)
Evidence requirements
Evidence the activity has been undertaken by the trainee.
Reflection on the activity at one or more time points after the event including learning from the activity and/or areas of the trainees practice for development.
An action plan to implement learning and/or to address skills or knowledge gaps identified.
Considerations
- NLP terminology: tokens, documents and corpus
- Tokenisation, stop words and stemming
- Term Frequency – Inverse document frequency
- Sentiment analysis
Relevant learning outcomes
# | Outcome |
---|---|
# 4 |
Outcome
Apply AI and machine learning techniques to address healthcare provision and clinical questions. |