Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices

Abstract
Investigation about the mechanisms involved in the onset of type 2 diabetes in absence of familiarity is the focus of a research project which has led to the development of a computational model that recapitulates the aetiology of the disease. The model simulates the metabolic and immunological alterations related to type-2 diabetes associated to several clinical, physiological and behavioural characteristics of representative virtual patients.
Anno
2019
Tipo pubblicazione
Altri Autori
Stolfi, Paola; Valentini, Ilaria; Palumbo, Maria Concetta; Tieri, Paolo; Grignolio, Andrea; Castiglione, Filippo