CORDIS Project
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The project aims to create a framework for machine learning in biomedical applications, focusing on predicting steroid flow in patients with Congenital Adrenal Hyperplasia. It seeks to integrate probabilistic models with limited data to enhance understanding and treatment outcomes.
To date most successful machine learning techniques for the analysis of complex interdisciplinary data predominantly use significant amounts of vectorial measurements as input to a statistical system.
The domain expert knowledge is often only used in data preprocessing and the subsequently trained technique appears as a black-box, which is difficult to interpret or judge and rarely allows insight into the underlying natural process.
However, in many bio-medical applications the underlying biolog…
THE UNIVERSITY OF BIRMINGHAM
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