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Artificial-intelligence-augmented telemedicine applied to the management of diet-treated gestational diabetes
Citation
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 |
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| Author/s: |
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| 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 |
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 |
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| 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 |
