Harnessing Big Data
Chris will give an brief overview of the basic principles of machine learning (including the selection of appropriate applications for machine-learning driven models in the clinical context), and cover the methods that are most commonly used in application to clinical data - including neural networks, tree-based models and reinforcement learning. To illustrate the use of each of the these approaches Chris will describe current projects that are using each method to produce clinically useful outputs.
- Understanding of basic principles of machine learning.
- Understanding of how these principles can be applied to clinical scenarios and decision making.