Descripción
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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. | |
Internacional
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Si |
Nombre congreso
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15th Annual Diabetes Technology Meeting (DTM) |
Tipo de participación
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970 |
Lugar del congreso
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Bethesda, Maryland. USA |
Revisores
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Si |
ISBN o ISSN
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1932-2968 |
DOI
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10.1177/1932296816639698 |
Fecha inicio congreso
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20/10/2015 |
Fecha fin congreso
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22/10/2015 |
Desde la página
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86 |
Hasta la página
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86 |
Título de las actas
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Journal of Diabetes Science and Technology |