HDR UK Site
The aim of this project is to achieve a scalable development of synthetic datasets that maintain the statistical properties of real clinical datasets. The work will involve the investigation of deep learning methods for such synthetic data (using both numerical and categorical variables – including clinical codes) in including generative adversarial networks.
Generating research-ready, actionable, real-time and large-scale insights
29 September 2022 at 3:00 pm
Professor Richard Dobson will present on Generating research-ready, actionable, real-time and large-scale insights from routinely collected, unstructured (e.g. letters, notes, reports) as well...
DaC-VaP-2 National Data Assets & Opportunities for Collaboration
22 September 2022 at 1:55 pm
The DaC-VaP-2 project webinar is being held thanks to the funding and support of BREATHE, Health Data Research UK and The Alan Turing Institute. In this webinar chaired by Professor Aziz Sheikh,...
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study
4 October 2022 at 3:00 pm
As part of the HDR UK Applied Analytics seminar series Dr Alasdair Henderson will present on Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a...