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Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine
We describe our experience in the remote management of women with gestational diabetes mellitus during the COVID-19 pandemic. We used a mobile phone application with artificial intelligence that automatically classifies and analyses the data (ketonuria, diet transgressions, and blood glucose values)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467870/ https://www.ncbi.nlm.nih.gov/pubmed/32890548 http://dx.doi.org/10.1016/j.diabres.2020.108396 |
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author | Albert, Lara Capel, Ismael García-Sáez, Gema Martín-Redondo, Pablo Hernando, M. Elena Rigla, Mercedes |
author_facet | Albert, Lara Capel, Ismael García-Sáez, Gema Martín-Redondo, Pablo Hernando, M. Elena Rigla, Mercedes |
author_sort | Albert, Lara |
collection | PubMed |
description | We describe our experience in the remote management of women with gestational diabetes mellitus during the COVID-19 pandemic. We used a mobile phone application with artificial intelligence that automatically classifies and analyses the data (ketonuria, diet transgressions, and blood glucose values), making adjustment recommendations regarding the diet or insulin treatment. |
format | Online Article Text |
id | pubmed-7467870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74678702020-09-03 Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine Albert, Lara Capel, Ismael García-Sáez, Gema Martín-Redondo, Pablo Hernando, M. Elena Rigla, Mercedes Diabetes Res Clin Pract Brief Report We describe our experience in the remote management of women with gestational diabetes mellitus during the COVID-19 pandemic. We used a mobile phone application with artificial intelligence that automatically classifies and analyses the data (ketonuria, diet transgressions, and blood glucose values), making adjustment recommendations regarding the diet or insulin treatment. Elsevier B.V. 2020-11 2020-09-03 /pmc/articles/PMC7467870/ /pubmed/32890548 http://dx.doi.org/10.1016/j.diabres.2020.108396 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Brief Report Albert, Lara Capel, Ismael García-Sáez, Gema Martín-Redondo, Pablo Hernando, M. Elena Rigla, Mercedes Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine |
title | Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine |
title_full | Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine |
title_fullStr | Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine |
title_full_unstemmed | Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine |
title_short | Managing gestational diabetes mellitus using a smartphone application with artificial intelligence (SineDie) during the COVID-19 pandemic: Much more than just telemedicine |
title_sort | managing gestational diabetes mellitus using a smartphone application with artificial intelligence (sinedie) during the covid-19 pandemic: much more than just telemedicine |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467870/ https://www.ncbi.nlm.nih.gov/pubmed/32890548 http://dx.doi.org/10.1016/j.diabres.2020.108396 |
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