The applied data science team uses data to uncover the patterns, causes, and effects of health and disease conditions, and how these link to health services, using the best techniques to increase the reliability of their findings.
Theme lead: Professor Yoav Ben-Shlomo
Accuracy of potential diagnostic indicators for coeliac disease: a systematic review protocol
Read the paperSupporting High-impAct useRs in Emergency Departments (SHarED) quality improvement: a mixed-method evaluation
Read the paperAssessing exposure to outdoor advertisement for products high in fat, salt and sugar (HFSS); is self-reported exposure a useful exposure metric?
Read the paper