| Literature DB >> 29678034 |
Elisa Salvi1, Lucia Sacchi1, Alexandra Madè2, Valeria Calcaterra2, Riccardo Bellazzi1, Cristiana Larizza1.
Abstract
In this paper, we present AID-GM, a web application for the analysis and summarization of continuous blood glucose monitoring data in patients with Type 1 Diabetes. AID-GM allows patients and their care providers to share data and analyze them thanks to a set of advanced and personalized intelligent data analysis tools. Such tools enable the extraction of complex multivariate temporal patterns from data. We present a preliminary evaluation of the functionalities of the tool, both on a set of healthy volunteers, and on real patients' data in the pediatric context.Entities:
Keywords: BG continuous monitoring; telemedicine; temporal data analysis
Mesh:
Substances:
Year: 2018 PMID: 29678034
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630