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

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

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 immunolo...

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Bibliographic Details
Main Authors: Paola Stolfi, Ilaria Valentini, Maria Concetta Palumbo, Paolo Tieri, Andrea Grignolio, Filippo Castiglione
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Bioinformatics
Subjects:
Machine learning
Random forest
Emulator
T2D
Computational modeling
Synthetic data
Online Access:https://doi.org/10.1186/s12859-020-03763-4

Internet

https://doi.org/10.1186/s12859-020-03763-4

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