Our Prediction Modelling Group provides a forum for researchers at King's College London’s Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and clinicians at South London and Maudsley NHS Foundation Trust, who are interested in prediction modelling applications for precision medicine.
Prediction models to support clinical decision-making have been around for a long time, but have only become possible on a large scale this century with the arrival of new data such as brain imaging, omics, clinical databases and patient health records, sensors in wearables, smartphones and the internet, and high-performance computing technology that collects, processes, stores and analyses huge amounts of information (so-called ‘big data’).
However, the development of prediction models in psychiatry is often more challenging than in other areas of medicine (see more details here).
The group aims to
- increase communication, information exchange and collaboration between researchers
- convene working groups to identify and solve problems
- develop guidelines for good practice in prediction modelling
To facilitate this, we are establishing a database of our members, including details of research interests and expertise.
Join the group
If you are interested in joining the group and being listed on the web page, please send an email to email@example.com or firstname.lastname@example.org. We would like to ask you to provide us with your name, position, department, interest and expertise, and a short statement about yourself.
Machine Learning and Prediction Modelling online seminars
We host monthly online seminars on Machine Learning and Prediction Modelling and their applications to solve healthcare problems. Speakers from the UK and abroad present their works on developing and/or using machine learning and prediction modelling methods to answer questions as how to choose the best treatment for a patient or how to improve the diagnosis of a disease. These seminars are organised by Dr Raquel Iniesta and Prof Daniel Stahl. Talks are open to the public and attendants can join online by following the links that are shared on twitter by @NIHRMaudsleyBRC or joining our mailing list. If you are interested to join our mailing list, please contact email@example.com.