المؤلفون: Farrell, Catriona, McNeilly, Alison, Hapca, Simona, Fournier, Paul, Jones, Timothy, Facchinetti, Andrea, Cappon, Giacomo, West, Daniel, McCrimmon, Rory J.

المصدر: Farrell , C , McNeilly , A , Hapca , S , Fournier , P , Jones , T , Facchinetti , A , Cappon , G , West , D & McCrimmon , R J 2024 , ' High Intensity Interval Training As A Novel Treatment For Impaired Awareness Of Hypoglycaemia In People With Type 1 Diabetes (Hit4hypos) : a randomised parallel-group study ' , Diabetologia , vol. 67 , pp. 392-402 . https://doi.org/10.1007/s00125-023-06051-xTest

مصطلحات موضوعية: Behaviour, Counter-regulation, Diabetes, Exercise, Habituation, Hypoglycaemia, impaired awareness

وصف الملف: application/pdf

العلاقة: https://discovery.dundee.ac.uk/en/publications/f601b432-88ba-464e-b291-e079d86efbb3Test

الإتاحة: https://doi.org/10.1007/s00125-023-06051-xTest
https://discovery.dundee.ac.uk/en/publications/f601b432-88ba-464e-b291-e079d86efbb3Test
https://discovery.dundee.ac.uk/ws/files/115071265/s00125-023-06051-x.pdfTest

المؤلفون: Jacobs, Peter G., Herrero, Pau, Facchinetti, Andrea, Vehi, Josep, Kovatchev, Boris, Breton, Marc, Cinar, Ali, Nikita, Konstantina S., Doyle, Frank, Bondia, Jorge, Battelino, Tatej, Castle, Jessica R., Zarkogianni, Konstantia, Narayan, Rahul, Mosquera-Lopez, Clara

المصدر: Jacobs , P G , Herrero , P , Facchinetti , A , Vehi , J , Kovatchev , B , Breton , M , Cinar , A , Nikita , K S , Doyle , F , Bondia , J , Battelino , T , Castle , J R , Zarkogianni , K , Narayan , R & Mosquera-Lopez , C 2024 , ' Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities ' , IEEE Reviews in Biomedical Engineering , vol. 17 , pp. 19-41 . < https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=Artificial%20intelligence%20and%20machine%20learning%20for%20improving%20glycemic%20control%20in%20diabetes:%20best%20practices,%20pitfalls%20and%20opportunitiesTest >

العلاقة: https://cris.maastrichtuniversity.nl/en/publications/695f33fe-5e4a-416a-b787-6613a9600516Test

الإتاحة: https://cris.maastrichtuniversity.nl/en/publications/695f33fe-5e4a-416a-b787-6613a9600516Test
https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=Artificial%20intelligence%20and%20machine%20learning%20for%20improving%20glycemic%20control%20in%20diabetes:%20best%20practices,%20pitfalls%20and%20opportunitiesTest

المؤلفون: Camerlingo, Nunzio, Vettoretti, Martina, Facchinetti, Andrea, Sparacino, Giovanni, Mader, Julia K., Choudhary, Pratik, Del Favero, Simone

المصدر: Camerlingo , N , Vettoretti , M , Facchinetti , A , Sparacino , G , Mader , J K , Choudhary , P & Del Favero , S 2020 , ' An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia ' , Scientific Reports , vol. 10 , no. 1 , 18180 . https://doi.org/10.1038/s41598-020-75079-5Test

الإتاحة: https://doi.org/10.1038/s41598-020-75079-5Test
https://kclpure.kcl.ac.uk/portal/en/publications/1752a1f5-48e2-4e82-8eaf-d9060fb1bd68Test
http://www.scopus.com/inward/record.url?scp=85093981699&partnerID=8YFLogxKTest

المؤلفون: Camerlingo, Nunzio, Vettoretti, Martina, Facchinetti, Andrea, Sparacino, Giovanni, Mader, Julia K., Choudhary, Pratik, Del Favero, Simone

المصدر: Camerlingo , N , Vettoretti , M , Facchinetti , A , Sparacino , G , Mader , J K , Choudhary , P & Del Favero , S 2020 , ' An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia ' , Scientific Reports , vol. 10 , no. 1 , 18180 . https://doi.org/10.1038/s41598-020-75079-5Test

الإتاحة: https://doi.org/10.1038/s41598-020-75079-5Test
https://kclpure.kcl.ac.uk/portal/en/publications/an-analytical-approach-to-determine-the-optimal-duration-of-continuous-glucose-monitoring-data-required-to-reliably-estimate-time-in-hypoglycemiaTest(1752a1f5-48e2-4e82-8eaf-d9060fb1bd68).html
http://www.scopus.com/inward/record.url?scp=85093981699&partnerID=8YFLogxKTest

المؤلفون: Camerlingo, Nunzio, Vettoretti, Martina, Facchinetti, Andrea, Sparacino, Giovanni, Mader, Julia K., Choudhary, Pratik, Del Favero, Simone

المصدر: Camerlingo , N , Vettoretti , M , Facchinetti , A , Sparacino , G , Mader , J K , Choudhary , P & Del Favero , S 2020 , ' An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia ' , Scientific Reports , vol. 10 , no. 1 , 18180 . https://doi.org/10.1038/s41598-020-75079-5Test

مصطلحات موضوعية: demo, stat

العلاقة: https://kclpure.kcl.ac.uk/portal/en/publications/an-analytical-approach-to-determine-the-optimal-duration-of-continuous-glucose-monitoring-data-required-to-reliably-estimate-time-in-hypoglycemiaTest(1752a1f5-48e2-4e82-8eaf-d9060fb1bd68).html

الإتاحة: https://doi.org/10.1038/s41598-020-75079-5Test
https://kclpure.kcl.ac.uk/portal/en/publications/an-analytical-approach-to-determine-the-optimal-duration-of-continuous-glucose-monitoring-data-required-to-reliably-estimate-time-in-hypoglycemiaTest(1752a1f5-48e2-4e82-8eaf-d9060fb1bd68).html