Denaxas Lab

Chart showing temperature and mortality of London for every week of 11 years, 1840-50. The shaded black colour denotes the extent by which the weekly deaths exceed the average; the yellow colour denotes the extent by which the weekly deaths are below the average; the red colour denotes the extent by which the mean temperature of the week exceeds the mean temperature of the years 1771-1849; the solid black denotes the extent by which the mean weekly temperature is below the mean temperature of the years 1771-1849. -- William Farr, downloaded from William Farr, Report on the mortality of cholera in England, 1848-49, 1852

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