We currently run a number of projects to extract various structured data from unstructured clinical narratives and electronic healthcare records (EHRs). In previous projects we have developed a combination of rule-based and machine-learning methods to identify diseses that a patient has or does not have (“disease status”), including identification of…
Health eResearch Centre (HeRC) – harnessing electronic health data to improve care for patients and communities
Our research on clinical text mining, processing patient generated data and building interoperable clinical data processing infrastructures is part of a new multimillion-pound centre of excellence in that has been awarded to a consortium led by The University of Manchester. The consortium brings together partners from academia, the NHS, local…
Dr George Karystianis
Training
gnTEAM provides traninig in topics related to text mining for undergraduate (BSc final year projects) and postgraudate students (MSc, MPhil, PhD and EngD projects). Final year undergraduate and MSc projects associated with the team are announced annually as part of the School of Computer Science taught programmes. The current research post-graduate…