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 StakeholdersRead the paper
Accuracy of potential diagnostic indicators for coeliac disease: a systematic review protocolRead the paper
Rethinking children’s physical activity interventions at school: A new context-specific approachRead the paper