Big data against childhood Obesity
Children and adolescents with obesity have a higher risk of developing various diseases later on, compared to children without obesity. The reasons why some children become obese are complex, and behaviour, the living environment, and public health policies all play a role. BigO collects and analyses anonymous data on children's behavioural patterns and their living environment. With advanced analytics BigO extracts data-driven evidence on which local factors are involved, and how these factors influence childhood obesity in Europe.
With this information BigO will be able to advice clinics and public health authorities on how to develop and plan effective programs and policies in an attempt to reduce childhood obesity.
Last week, the 6th International Workshop on Multimedia Assisted Dietary Management (MADiMa2020) took place. MADiMa aims to bring together researchers from the diverse fields of engineering, computer science and nutrition who investigate the use of information and communication technologies for better monitoring, assessment and management of food intake. The researchers present and demonstrate their latest…Read more >
The Public Health Authorities (PHA) portal on the BigO website is live. The PHA portal constitutes one of the main outcomes of the BigO project. The PHA is a tool for the extraction of associations between children’s obesogenic behaviours and local environment using big data. The portal has four main functionalities. These functionalities include, (a)…Read more >
On 10-15 January the 6th International Workshop on Multimedia Assisted Dietary Management will take place. However, this year, the conference is in conjunction with ICPR2020, the 25th International Conference on Pattern Recognition. MADiMa aims to bring together researchers from the diverse fields of engineering, computer science and nutrition who investigate the use of information and…Read more >