Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6247
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDarabi, Z.-
dc.contributor.authorSolgi, S. Shokoohi-
dc.contributor.authorZarandi, Mohammad Hossein Fazel-
dc.contributor.authorTürkşen, İsmail Burhan-
dc.date.accessioned2021-09-11T15:35:27Z-
dc.date.available2021-09-11T15:35:27Z-
dc.date.issued2015en_US
dc.identifier.citationIEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology CIBCB -- AUG 12-15, 2015 -- Honolulu, HIen_US
dc.identifier.isbn978-1-4799-6926-5-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6247-
dc.description.abstractThis paper presents a multi agent system which can help type 2 diabetic patients. Because of diabetes nature, medical care and lifestyle can both prevent the complications of this illness, so self-managing is very crucial for these patients. Therefore, each effective factor of controlling diabetes and increasing patients' knowledge including: suitable diet and monitoring blood glucose level, is assigned to be an agent which works independently whilst coordinates and cooperates with other agents. The proposed architecture of this multi agent system organizes all the various agents of this system in a way that not only each of them can accomplish their responsibility, but also they can have effective interaction with other agents. This designed system has the ability to develop a model that can be easily used by patients suffering from type 2 diabetes.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 IEEE Conference On Computational Intelligence In Bioinformatics And Computational Biology (Cibcb)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSelf-managementen_US
dc.subjectDiabetesen_US
dc.subjectHealth Care Systemen_US
dc.subjectMulti Agent Systemen_US
dc.subjectEmpowermenten_US
dc.subjectAgent-Baseden_US
dc.titleAn Intelligent Multi-Agent System Architecture for Enhancing Self-Management of Type 2 Diabetic Patientsen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.startpage222en_US
dc.identifier.endpage229en_US
dc.identifier.wosWOS:000380434200003en_US
dc.identifier.scopus2-s2.0-84953455732en_US
dc.institutionauthorTürkşen, İsmail Burhan-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology CIBCBen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

Page view(s)

50
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.