Skip to main content

Research Repository

Advanced Search

All Outputs (3)

Using interactive digital technology to predict and prevent childhood overweight (2017)
Journal Article
Rose, J., Redsell, S. A., Wharrad, H., Siriwardena, A. N., Swift, J. A., Dilip, N., …Glazebrook, C. (in press). Using interactive digital technology to predict and prevent childhood overweight. Acta Paediatrica, 106(S470), https://doi.org/10.1111/apa.14093

Background: Obesity risk factors can be identified during infancy, providing an opportunity for early intervention. ProAsk is an interactive digital intervention that supports health professionals to quantify and communicate an infant's overweight ri... Read More about Using interactive digital technology to predict and prevent childhood overweight.

Digital technology to facilitate Proactive Assessment of Obesity Risk during Infancy (ProAsk): a feasibility study (2017)
Journal Article
Redsell, S. A., Rose, J., Weng, S., Ablewhite, J., Swift, J. A., Siriwardena, A. N., …Glazebrook, C. (2017). Digital technology to facilitate Proactive Assessment of Obesity Risk during Infancy (ProAsk): a feasibility study. BMJ Open, 7(9), Article e017694. https://doi.org/10.1136/bmjopen-2017-017694

Objective: To assess the feasibility and acceptability of using digital technology for Proactive Assessment of Obesity Risk during Infancy (ProAsk) with the UK health visitors (HVs) and parents. Design: Multicentre, pre- and post-intervention feas... Read More about Digital technology to facilitate Proactive Assessment of Obesity Risk during Infancy (ProAsk): a feasibility study.

Can machine-learning improve cardiovascular risk prediction using routine clinical data (2017)
Journal Article
Weng, S. F., Reps, J. M., Kai, J., Garibaldi, J. M., & Quereshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data. PLoS ONE, 12(4), Article e0174944. https://doi.org/10.1371/journal.pone.0174944

Background Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. Machine-learning offers opportunity to improve accuracy by exploiti... Read More about Can machine-learning improve cardiovascular risk prediction using routine clinical data.