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Artificial-intelligence-augmented telemedicine applied to the management of diet-treated gestational diabetes
Cita
Rigla Cros, Mercedes; García Sáez, Gema; Villaplana, María; Caballero Ruiz, Estefanía; Pons, Belén; Aguilar, Montserrat; Méndez, Anna; Gómez Aguilera, Enrique J. y Hernando Pérez, María Elena (2015). Artificial-intelligence-augmented telemedicine applied to the management of diet-treated gestational diabetes. En: "15th Annual Diabetes Technology Meeting (DTM)", 20/10/2015 - 22/10/2015, Bethesda, Maryland, USA. p. 86. https://doi.org/10.1177/1932296816639698.
Descripción
| Título: | Artificial-intelligence-augmented telemedicine applied to the management of diet-treated gestational diabetes |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 15th Annual Diabetes Technology Meeting (DTM) |
| Fechas del Evento: | 20/10/2015 - 22/10/2015 |
| Lugar del Evento: | Bethesda, Maryland, USA |
| Título del Libro: | Journal of Diabetes Science and Technology |
| Fecha: | 2015 |
| Materias: | |
| Escuela: | Centro de Tecnología Biomédica (CTB) (UPM) |
| Departamento: | Tecnología Fotónica y Bioingeniería |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 42217 |
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| Identificador DC: | http://oa.upm.es/42217/ |
| Identificador OAI: | oai:oa.upm.es:42217 |
| Identificador DOI: | 10.1177/1932296816639698 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 10 May 2017 16:28 |
| Ultima Modificación: | 10 May 2017 16:28 |
