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
Developing Suicide Prevention Tools in the Context of Digital Peer Support: Qualitative Analysis of a Workshop With Multidisciplinary Stakeholders
Read the paperAccuracy of potential diagnostic indicators for coeliac disease: a systematic review protocol
Read the paperRethinking children’s physical activity interventions at school: A new context-specific approach
Read the paper