Professor Spiros Denaxas, University College London, will be delivering a talk on Tuesday 4 December. Find the details below:
Data-driven Tools for Disease Prognosis
Professor Spiros Denaxas (UCL)
11am-12pm, Tuesday 4 December, Lecture Theatre 4, Stopford Building, University of Manchester
Disease prediction tools enable clinicians to identify patients at higher risk of developing a particular health outcome such as a diagnoses or complications association with a disease, being hospitalised (or re-hospitalized) or dying from a specific condition. The majority of tools however do not fully exploit the richness and resolution of available data as they tend to use a small set of manually curated clinical features and traditional statistical modelling approaches. This talk will illustrate and critically appraise the use of machine learning approaches including as supervised learning algorithms and neural network representations of clinical concepts for developing and evaluating risk prediction tools using all available data on millions of patients.