At the intersection of clinical research and computer science, our lab seeks to develop data-driven computational methods
and tools for exploiting electronic health records
for biomedical research. The lab is based in the Institute of Health Informatics at University College London which is part of the national Farr Institute of Health Informatics Research. (more info)
Our abstract titled "Accuracy of probabilistic record linkage applied to the Brazilian 100 million cohort project" was awarded the best rapid fire presentation / poster award
at this year's IEEE Biomedical and Health Informatics (BHI-2017
) conference in Orlando, Florida.
Launch of the CALIBER Big Health Data Grand Challenge
with the primary aim to foster collaboration between disciplines in pursuit of novel research using big health data.
Hemingway H., Feder G., Fitzpatrick N., Denaxas S., Shah A. Timmis A.Using nationwide big data' from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the CALIBER programme
Programme Grants for Applied Research, 2017, 10.3310/pgfar05040
Shah A., Thornley S., Chung S.C., Denaxas S., Jackson R., Hemingway H.White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
BMJ Open, 2017, 10.1136/bmjopen-2016-013100