Open Access2015 Diabetes Technology Meeting Abstracts
Author(s) -
Rigla Cros, Mercedes,
García Sáez, Gema,
Villapla María,
Caballero Ruiz, Estefanía,
Pons, Belén,
Aguilar, Montserrat,
Méndez, Anna,
Gómez Aguilera, Enrique J.,
Hernando Pérez, María Elena
Publication year - 2016
Publication title -
journal of diabetes science and technology
Language(s) - English
Resource type - Journals
eISSN - 1932-3107
pISSN - 1932-2968
DOI - 10.1177/1932296816639698
Subject(s) - medicine , diabetes mellitus , endocrinology
Gestational diabetes (GD) confers an increased risk of complications as well as future type 2 diabetes. We assess the safety and efficacy of an artificial intelligence (AI)-augmented telemedicine system (ruled-based reasoning) that includes a blood glucose (BG) classifier (C4.5 Quinlan decision tree) in comparison with the standard care in the management of GD while insulin is not required
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