A CBR-based bolus recommender system for type 1 diabetes

Comunicació de congrés presentada a: Workshop on Artificial Intelligence for Diabetes (2nd: 2017: Viena, Àustria) i Conference on Artificial Intelligence in Medicine (AIME) (16th: 2017: Viena, Àustria)

Detalles Bibliográficos
Autores: Torrent-Fontbona, Ferran, López Ibáñez, Beatriz, Pozo-Alonso, Alejandro
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/14318
Acceso en línea:http://hdl.handle.net/10256/14318
Access Level:acceso abierto
Palabra clave:Diabetis
Diabetes
Insulina
Insulin
Intel·ligència artificial -- Aplicacions a la medicina
Artificial intelligence -- Medical applications
Raonament basat en casos
Case-based reasoning
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spelling A CBR-based bolus recommender system for type 1 diabetesTorrent-Fontbona, FerranLópez Ibáñez, BeatrizPozo-Alonso, AlejandroDiabetisDiabetesInsulinaInsulinIntel·ligència artificial -- Aplicacions a la medicinaArtificial intelligence -- Medical applicationsRaonament basat en casosCase-based reasoningComunicació de congrés presentada a: Workshop on Artificial Intelligence for Diabetes (2nd: 2017: Viena, Àustria) i Conference on Artificial Intelligence in Medicine (AIME) (16th: 2017: Viena, Àustria)Aquest workshop ha rebut finançament del programa d'investigació i innovació EU Horizon 2020 sota el núm. d'ajut 689810People with type 1 diabetes mellitus usually need to administer bolus insulin before each meal to keep the blood glucose level in the target glycaemic range. However, the factors involved in the calculation of the appropriate dose can change due to multiple factors and with an unknown relation. This may increase the error in the bolus calculation, and therefore, increase the chances of hypoglycaemia and hyperglycaemia. This paper proposes a bolus recommender system based on case based reasoning developed under project PEPPER, with the objective of recommending personalised and adaptive bolus doses. The system has been tested with in silico adults with UVA/PADOVA T1DM simulator. Results show that the use of the proposed bolus recommender system increases the percentage of time in the target glycaemic rangeThis project has received funding from the grant of the University of Girona 2016-2018 (MPCUdG2016) and the European Union Horizon 2020 research and innovation programme under grant agreement No. 689810, www.pepper.eu.com/, PEPPER. The work has been developed with the support of the research group SITES awarded with distinction by the Generalitat de Catalunya (SGR 2014-2016).Artificial Intelligence for Diabetes (AID), Artificial Intelligence in Medicine (AIME), PEPPER2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10256/14318http://hdl.handle.net/10256/14318© Herrero, P., López, B., Martin, C.(eds). (2017). AID 2017: Proceedings of the 2nd International Workshop on Artificial Intelligence for Diabetes held in conjunction with the 16th Conference on Artificial Intelligence in Medicine (AIME): Vienna, Austria: 24th June 2017, p. 9-14Articles publicats (D-EEEiA)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/EC/H2020/689810Tots els drets reservatsinfo:eu-repo/semantics/openAccessoai:recercat.cat:10256/143182026-05-29T05:05:01Z
dc.title.none.fl_str_mv A CBR-based bolus recommender system for type 1 diabetes
title A CBR-based bolus recommender system for type 1 diabetes
spellingShingle A CBR-based bolus recommender system for type 1 diabetes
Torrent-Fontbona, Ferran
Diabetis
Diabetes
Insulina
Insulin
Intel·ligència artificial -- Aplicacions a la medicina
Artificial intelligence -- Medical applications
Raonament basat en casos
Case-based reasoning
title_short A CBR-based bolus recommender system for type 1 diabetes
title_full A CBR-based bolus recommender system for type 1 diabetes
title_fullStr A CBR-based bolus recommender system for type 1 diabetes
title_full_unstemmed A CBR-based bolus recommender system for type 1 diabetes
title_sort A CBR-based bolus recommender system for type 1 diabetes
dc.creator.none.fl_str_mv Torrent-Fontbona, Ferran
López Ibáñez, Beatriz
Pozo-Alonso, Alejandro
author Torrent-Fontbona, Ferran
author_facet Torrent-Fontbona, Ferran
López Ibáñez, Beatriz
Pozo-Alonso, Alejandro
author_role author
author2 López Ibáñez, Beatriz
Pozo-Alonso, Alejandro
author2_role author
author
dc.subject.none.fl_str_mv Diabetis
Diabetes
Insulina
Insulin
Intel·ligència artificial -- Aplicacions a la medicina
Artificial intelligence -- Medical applications
Raonament basat en casos
Case-based reasoning
topic Diabetis
Diabetes
Insulina
Insulin
Intel·ligència artificial -- Aplicacions a la medicina
Artificial intelligence -- Medical applications
Raonament basat en casos
Case-based reasoning
description Comunicació de congrés presentada a: Workshop on Artificial Intelligence for Diabetes (2nd: 2017: Viena, Àustria) i Conference on Artificial Intelligence in Medicine (AIME) (16th: 2017: Viena, Àustria)
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/14318
http://hdl.handle.net/10256/14318
url http://hdl.handle.net/10256/14318
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/EC/H2020/689810
dc.rights.none.fl_str_mv Tots els drets reservats
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Tots els drets reservats
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Artificial Intelligence for Diabetes (AID), Artificial Intelligence in Medicine (AIME), PEPPER
publisher.none.fl_str_mv Artificial Intelligence for Diabetes (AID), Artificial Intelligence in Medicine (AIME), PEPPER
dc.source.none.fl_str_mv © Herrero, P., López, B., Martin, C.(eds). (2017). AID 2017: Proceedings of the 2nd International Workshop on Artificial Intelligence for Diabetes held in conjunction with the 16th Conference on Artificial Intelligence in Medicine (AIME): Vienna, Austria: 24th June 2017, p. 9-14
Articles publicats (D-EEEiA)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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