Objective
Digital healthcare may prevent poor health. Personalised early risk prediction by artificial intelligence can empower citizens to adopt healthier habits and a better lifestyle. This project aims at defining a general personalised early risk prediction model that will be used to support individual preventive measures as well as early intervention. New digital tools are designed to empower both citizens and patients. Furthermore, the impact of the new digital tools on health and care pathways are investigated. Three main scenarios are included: 1. Chronic sun damage and the fight against skin cancer, 2. The late complications of diabetes mellitus and 3. The four main lifestyle risk factors in noncommunicable diseases. In scenario 1, a smartphone application estimates a person`s risk for sun damage and skin cancer. Both healthy persons and skin cancer patients are included. The analysis is based on user-collected data indicating previous and current sun exposure, skin type including a computer-based naevus classification and the family history of skin cancer. Persons at increased risk are educated on healthy sun exposure behaviour including sun screen use. In addition, they are asked to see their doctor for a total body skin examination. In scenario 2, a smartphone application estimates a person`s risk for late complications of diabetes. General lifestyle measures as well as blood sugar levels collected by the patient are used as input for the analysis. Persons at increased risk for complications are given specific advice and are asked to see their doctor. In scenario 3, a web-based tool to collect general lifestyle data in healthy populations is tested, emphasising the four main risk factors: Unhealthy diet, physical inactivity, tobacco use and harmful use of alcohol. All data in the project are analysed in a multidisciplinary approach including medical, sociological and behavioural outcomes.
Field of science
- /engineering and technology/electrical engineering, electronic engineering, information engineering/information engineering/telecommunications/mobile phone
- /medical and health sciences/clinical medicine/endocrinology/diabetes
- /natural sciences/computer and information sciences/artificial intelligence
- /medical and health sciences/clinical medicine/cancer/skin cancer
Call for proposal
H2020-SC1-DTH-2020-1
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
9019 Tromso
Norway
Participants (11)
020021 Bucuresti
9019 Tromso
35001 Las Palmas De Gran Canaria
0313 Oslo
T12 Cork
00189 Roma
011367 Bucuresti
00185 Roma
28933 Mostoles
33180 Tampere
1483 Hagan
