Non-communicable diseases (NCDs) like Type 2 Diabetes (T2D) or hypertension have become significant health concerns worldwide. How can we use existing datasets to predict the risk of these NDCs for individuals? This is the challenge that this demonstrator addressed. We developed better performing algorithms to predict the risk of T2D and hypertension and to build a personalised feedback tool. Those algorithms are based on data from the Food4Me project and the Feel4Diabetes study involving > 3500 individuals from 11 EU member states.
The resulting app called HEALTHWISE (Hypertension and Type 2 Diabetes Risk Score Calculation With Integrated Support for Exercise and Dietary Recommendations to Achieve Weight-loss Objective) is a self-assessment tool for consumers to determine the risk of a person being affected by T2D or hypertension based on their anthropometrics and some lifestyle habits. It provides personalised recommendations for diet and exercise to achieve weight-loss goals, taking into account the person’s preferences and habits.
HEALTHWISE is mainly designed for consumers; some functions can also be used by researchers as the tool collects new citizen data.
HEALTHWISE was developed by the Harokopio University of Athens.
Food Nutrition Security Cloud (FNS-Cloud) has received funding from the European Union’s Horizon 2020 Research and Innovation programme (H2020-EU.126.96.36.199. – A sustainable and competitive agri-food industry) under Grant Agreement No. 863059. Information and views set out across this website are those of the Consortium and do not necessarily reflect the official opinion or position of the European Union. Neither European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use that may be made of the information contained herein.