STIMOLA CURIOSITA’, PASSIONE E CORAGGIO
INDACO - Incorporating Nonadditivity and nonlinearity within the Dietary patterns And Cancer risk association: statistics and machine learning to create novel research Opportunities from dietary assessment to cancer prediction
Abstract
Among the various risk factors for cancer, diet have the main objectives of prevention programs although several limitations of nutritional epidemiology may contribute to a reduced ability to accurately identify its effects. The INDACO project is aimed at using novel statistical and machine learning (ML) approaches to exploring the association between dietary patterns and cancer risk; evaluating the identified cancer risk prediction/classification models using new and old data; exploring the potential of ML approaches in a novel image-based dietary assessment tool; validating results from ML based image approach versus a pilot study based of a new food images and recipes, and nutrient intakes.
Partenariato
- Dipartimento di Scienze Cliniche e di Comunità, Università degli studi di Milano
- Dipartimento di Area Medica, Università degli studi di Udine
- Dipartimento di Scienze Economiche, Aziendali, Matematiche e Statistiche, Università degli studi di Trieste
Importo del progetto
Importo totale del progetto Euro 79.242,00
Importo del progetto Uniud Euro 69.591,00
Finanziamento Uniud Euro 9.651,00
Durata
- Dal 16/10/2023
- Al 15/10/2025
Link