Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices.
Journal:
BMC bioinformatics
Published Date:
Dec 14, 2020
Abstract
BACKGROUND: The aim of a recent research project was the investigation of the mechanisms involved in the onset of type 2 diabetes in the absence of familiarity. This has led to the development of a computational model that recapitulates the aetiology of the disease and simulates the immunological and metabolic alterations linked to type-2 diabetes subjected to clinical, physiological, and behavioural features of prototypical human individuals.