Descripción
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In type 1 diabetes mellitus (T1DM), patients play an active role in their own care and need to have the knowledge to adapt decisions to their daily living conditions. Artificial intelligence applications can help people with type 1 diabetes in decision making and allow them to react at time scales shorter than the scheduled face-to-face visits. This work presents a decision support system (DSS), based on glucose prediction, to assist patients in a mobile environment. | |
Internacional
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Si |
JCR del ISI
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No |
Título de la revista
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Journal of Diabetes Science and Technology |
ISSN
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19322968 |
Factor de impacto JCR
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Información de impacto
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Volumen
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12 |
DOI
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10.1177/1932296818761457 |
Número de revista
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2 |
Desde la página
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243 |
Hasta la página
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250 |
Mes
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SIN MES |
Ranking
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