Descripción del proyecto
Empoderar a los ciudadanos y pacientes para que tomen el control de su salud
Se cree que la predicción temprana de riesgos mediante el uso de la inteligencia artificial puede empoderar a los ciudadanos para que adopten hábitos más saludables y un estilo de vida mejor. El proyecto WARIFA, financiado con fondos europeos, tiene por objetivo la definición de un modelo de predicción temprana de riesgos que se utilizará para apoyar las medidas preventivas individuales, así como la intervención temprana. La tecnología propuesta contribuirá al empoderamiento de ciudadanos y pacientes. La herramienta digital se centrará principalmente en tres escenarios: la lucha contra el cáncer de piel, las complicaciones tardías de la diabetes mellitus y los principales factores de riesgo del estilo de vida implicados en enfermedades no transmisibles.
Objetivo
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.
Ámbito científico
- natural sciencescomputer and information sciencesartificial intelligence
- medical and health sciencesclinical medicineoncologyskin cancer
- medical and health sciencesclinical medicineendocrinologydiabetes
- medical and health scienceshealth sciencesnutrition
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SC1-DTH-2020-1
Régimen de financiación
RIA - Research and Innovation actionCoordinador
9019 Tromso
Noruega