PubMed ID:
25772254
Public Release Type:
Journal
Publication Year: 2015
Affiliation: Institute of Computer Science, Foundation for Research and Technology-Hellas, Heraklion, Greece; Computer Science Department, University of Crete, Heraklion, Greece.
DOI:
https://doi.org/10.1016/j.jdiacomp.2015.03.001
Authors:
Chiarugi F,
Fursse J,
Jones RW,
Lagani V,
Lakasing E,
Thomson S,
Tsamardinos I
Request IDs:
2909
To derive and validate a set of computational models able to assess the risk of developing complications and experiencing adverse events for patients with diabetes. The models are developed on data from the Diabetes Control and Complications Trial (DCCT) and the Epidemiology of Diabetes Interventions and Complications (EDIC) studies, and are validated on an external, retrospectively collected cohort.