Articolul precedent |
Articolul urmator |
457 0 |
Căutarea după subiecte similare conform CZU |
60:602 (1) |
Biotechnology (54) |
SM ISO690:2012 USIC, Ghenadie. Bolus insulin calculator for type I diabetes self-monitoring using neural networks. In: Scientific Collection ”InterConf”, 26-28 ianuarie 2021, Hamburg. Hamburg, Germany : Peal Press Ltd., 2021, Vol. 1(40), pp. 704-711. ISBN 978-3-512-31217-5. |
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Scientific Collection ”InterConf” Vol. 1(40), 2021 |
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Conferința "Scientific community: interdisciplinary research" Hamburg, Germania, 26-28 ianuarie 2021 | ||||||
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CZU: 60:602 | ||||||
Pag. 704-711 | ||||||
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Rezumat | ||||||
Diabetes is a serious, long-term condition that occurs when the body cannot produce any or enough insulin or cannot effectively use the insulin it produces. Diabetes type I (T1D) – a chronic, life-long, non-curable disease with high percentage of complications. Blood glucose control and insulin dose calculations are pivotal components in diabetes self-monitoring. This study represents an attempt to use machine learning techniques to personalize and optimize the bolus insulin dosage calculations for patients with T1D. The proposed model has been trained using pharmacodynamics profiles and a virtual dataset. The study lasted for 2 months. |
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Cuvinte-cheie diabetes self-monitoring, artificial neural network, blood glucose control, insulin dosage calculator |
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DataCite XML Export
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