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.