Training activity information
Details
Develop a machine learning solution to a clinical problem
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
- Machine learning methods, including: supervised learning, unsupervised learning, semi-supervised learning and reinforced learning
- Regression, neural networks, random forest and nearest neighbour
- Fitting
- Bias
Relevant learning outcomes
| # | Outcome |
|---|---|
| # 4 |
Outcome
Apply AI and machine learning techniques to address healthcare provision and clinical questions. |