Clinical prediction models can help healthcare professionals and patients make clinical decisions with the aim of improving patient outcomes and quality of care. Developing and implementing an accurate, generalisable, and robust prediction model needs - besides clinical expertise, clinicians, patients and other stakeholders’ involvement - modern statistical and data science skills.
Virtual Data training Centre
Funded by UK Research and Innovation, the NIHR Maudsley BRC prediction modelling supports the development of an innovative, interactive online learning program to provide a comprehensive and integrated understanding of the requirements of modern data science in health research in the 21st century. This virtual online training centre will offer flexible online courses in R and Phyton programming, Prediction modelling, machine learning/AI and Natural Language processing. The online modules will be hosted by the NIHR Maudsley BRC CoqStack servers. Modules will introduce and train to use a variety of large data analysis techniques, allowing researchers to process health record data for both research and real-world applications. The first modules will be launched in the summer of 2022. More information about the centre which is part of Kings Innovation Scholars programme: Big Data skills Training” can be found at Innovation Scholars: Big Data Training (Pillar 1) and here: https://innovationscholars.co.uk/
Applied Statistical Modelling and Health Informatics
Members of the BRC Prediction modelling group are also supporting the MSc, PG Cert, PG Dip “Applied Statistical Modelling and Health Informatics”, which provides training in core applied statistical methodology, machine learning and computational methodology necessary for the successful development of clinical prediction models. More information about the MSc can be found here: https://www.kcl.ac.uk/study/postgraduate-taught/courses/applied-statistical-modelling-health-informatics
About precision medicine and prediction modelling
Precision medicine is an emerging approach that focuses on identifying treatments or approaches.
Initiatives and aims
We are finding prediction modelling researchers to establish an online database listing members’ areas of interest and expertise.
Ethics
Predictive models that use data from individuals are an important source of information in medical settings.
Join our prediction modelling group
Joining our group helps create our database of researchers and establish collaborations within our institution and beyond.
Prediction Modelling Workshop
Videos from the inaugural workshop of our Prediction Modelling Group including presentations from world-renowned experts.
Prediction Modelling Presentations
Our Prediction Modelling group will be hosting regular presentations to engage and introduce new members to our community.
Implementation research
Our Prediction Modelling Group provides innovative approaches to tackle this translational gap and advance implementation science.
Training
Find out more about our training in methodological skills for Prediction Modelling.
