Description
The module aims to equip you to tackle a significant challenge in the application of artificial intelligence to healthcare data. You will demonstrate a sound justification for the approach adopted as well as evidencing their originality (including exploration and investigation) and a self-critical evaluation of your solution’s effectiveness. You will develop a critical awareness of current problems and new insights in the field of artificial intelligence, as applied to healthcare, andÌýknowledge of developments in the domain.
By the end of the module you should be able to:
- Ìýidentify the main approaches used in implementing machine learning algorithms in healthcare
- Ìýunderstand the challenges involved in dealing with healthcare data, how is cleaned, curated and represented
- Ìýdesign and implement a machine learning algorithm using the relevant software packages and techniques, including high performance computing hardware
- Ìýplan and complete a project as part of a team
- Ìýassess the statistical methods used in the evaluation ofÌýmachine learning in healthcare
- Ìýapply approaches to optimizing and improving a machine learning algorithm
- Ìýeffectively summarise and present the findings of a machine learning project
You will report weekly on the progress made towards your final goal. You will make short presentations following an agreed format and receive verbal feedback on your progress.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
Ìý