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CogStack represents a major advance in the capacity to extract and analyse unstructured data from electronic health records (EHRs). It uses a range of technologies to support modern open-source...
A team of researchers processed and converted over 1.3 billion rows of UK Biobank data to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM), improving its usability for...
Researchers have applied machine learning to improve the detection of heart damage through cardiac magnetic resonance (CMR) scans.
Researched used nationwide patient data to evaluate the effectiveness of the NEWS2 score for predicting who was at greatest risk of intensive care.
As part of the HDR UK Applied Analytics scientific theme, this seminar on Radiomics in the advancement of characterisation of childhood brain tumours will be led by Professor Theo Arvanitis.
A population-study, enabled by Health Data Research UK (HDR UK) and part-funded by the British Heart Foundation Data Science Centre, provides the data and resources to help improve health and care...
Novel insights on the diagnosis and prognosis of patients with suspected myocardial infarction in practice using High-STEACS trial and routinely collected health care data.
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...
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,...
