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Artificial intelligence experimental design for healthcare data

The PhD research will investigate efficient ways of applying artificial intelligence in healthcare.

Artificial intelligence and, in particular, machine learning algorithms have proved extremely efficient in dealing with data generated by healthcare practitioners. However, in order to make the best of these approaches, it is important to design the machine learning experiments in a way that is optimal in terms of resources involved and in terms of accuracy of the results.

In the machine learning community, a test/train split of data is something done in a standard way, mostly random, with a certain distribution. For clinical data, such split in the experimental phase might not make sense. The data could be split by various attributes: by individual patient, by condition, in a temporal way, and so on. Identifying the right statistical setting for performing the experiments is a challenging task.

There are two challenges that this research will investigate, in a statistical design of artificial intelligence experiments for particular types of clinical data:

  • Identifying the best learning method to be applied, together with the optimal parameter setting for it
  • Identifying the best learning strategy: which data should be used for training and which for testing

The post holder will work closely with healthcare providers and domain experts.

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

  1. Contact the supervisor by email or phone to discuss your interest and find out if you woold be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
  2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
  3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.