Artificial-intelligence-augmented telemedicine applied to the management of diet-treated gestational diabetes

Rigla Cros, Mercedes and García Sáez, Gema and Villaplana, María and Caballero Ruiz, Estefanía and Pons, Belén and Aguilar, Montserrat and Méndez, Anna and Gómez Aguilera, Enrique J. and Hernando Pérez, María Elena (2015). Artificial-intelligence-augmented telemedicine applied to the management of diet-treated gestational diabetes. In: "15th Annual Diabetes Technology Meeting (DTM)", 20/10/2015 - 22/10/2015, Bethesda, Maryland, USA. p. 86. https://doi.org/10.1177/1932296816639698.

Description

Title: Artificial-intelligence-augmented telemedicine applied to the management of diet-treated gestational diabetes
Author/s:
  • Rigla Cros, Mercedes
  • García Sáez, Gema
  • Villaplana, María
  • Caballero Ruiz, Estefanía
  • Pons, Belén
  • Aguilar, Montserrat
  • Méndez, Anna
  • Gómez Aguilera, Enrique J.
  • Hernando Pérez, María Elena
Item Type: Presentation at Congress or Conference (Article)
Event Title: 15th Annual Diabetes Technology Meeting (DTM)
Event Dates: 20/10/2015 - 22/10/2015
Event Location: Bethesda, Maryland, USA
Title of Book: Journal of Diabetes Science and Technology
Date: 2015
Subjects:
Faculty: Centro de Tecnología Biomédica (CTB) (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 42217
DC Identifier: http://oa.upm.es/42217/
OAI Identifier: oai:oa.upm.es:42217
DOI: 10.1177/1932296816639698
Deposited by: Memoria Investigacion
Deposited on: 10 May 2017 16:28
Last Modified: 10 May 2017 16:28
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