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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鈥檚 effectiveness. You will develop a critical awareness of current problems and new insights in the field of artificial intelligence, as applied to healthcare, and听knowledge of developments in the domain.
By the end of the module you should be able to:
- 听identify the main approaches used in implementing machine learning algorithms in healthcare
- 听understand the challenges involved in dealing with healthcare data, how is cleaned, curated and represented
- 听design and implement a machine learning algorithm using the relevant software packages and techniques, including high performance computing hardware
- 听plan and complete a project as part of a team
- 听assess the statistical methods used in the evaluation of听machine learning in healthcare
- 听apply approaches to optimizing and improving a machine learning algorithm
- 听effectively 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 8th April 2024.
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