The predictive accuracy of Quealth's algorithms is measured using the AUC (c-statistic) value – the higher the better, with anything over 0.7 indicating good predictive strength. This level of accuracy is directly comparable to – and in many cases higher than – other internationally recognised and respected disease risk algorithms.
Quealth has the added advantage of acquiring a much richer data set which drives both greater sensitivity to change as well as enabling highly detailed and personalised health coaching.
Paul Nash – Head of Clinical Governance
Our health experts
Making Quealth a world-class, market-leading health improvement programme requires an ongoing programme of clinical and academic validation, research and development.
That's where our expert health team comes in. We're proud and priviledged to work with a fantastic group of clinical, academic and editorial leads who provide expert insight into the ongoing development of Quealth.