Prediction Modelling for Clinical Medicine Symposium

Published on: 7th December 2017

24 April 2018
10.30am - 4.30pm


Prestonfield Suite, John McIntyre Conference Centre, Pollock Halls, Edinburgh

The Asthma UK Centre for Applied Research is delighted to invite researchers and clinicians with an interest in prediction modelling for clinical medicine to this upcoming symposium in Edinburgh.

Event overview
Prediction models, both diagnostic and prognostic, are popular and widely published in medical literature, yet their use in clinical practice is relatively limited. In addition, the influence of ‘big data’ in research has led to machine learning methods for deriving and validating prediction models being increasingly reported, but how do these methods compare to statistical approaches and what are the pros and cons when designing a study?

This one day symposium, hosted by the methodology group at the Asthma UK Centre for Applied Research, offers a comprehensive programme exploring the development and evaluation of prediction models for use in clinical medicine. Designed to stimulate discussion about the methods involved in prediction modelling, the three main topics will be:

  • Statistical and machine learning methods for prediction modelling.
  • Advantages and disadvantages of using ‘big data’ to derive and validate prediction models.
  • Implementing and evaluating clinical prediction models

We have an excellent range of speakers from across the UK and Ireland. We are delighted to welcome Professor Tom Fahey and Professor Keith Fox as our plenary speakers.

  • Professor Fahey has long standing interest and expertise in clinical prediction models and pioneers research into the implementation and evaluation of prediction models in clinical practice.
  • Professor Keith A. A. Fox, Duke of Edinburgh Professor of Cardiology at the University of Edinburgh, will share his experience of developing and implementing prediction models in clinical practice, notably the GRACE score and GARFIELD-AF score.

Who can attend?
This course is open to anyone with an interest in prediction modelling for clinical medicine, though the topics are likely to appeal mostly to post-graduates (both clinical and non).

A registration fee of £7.50 includes lunch and refreshments.

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