Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/23980
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dc.contributor.authorKulev, Igoren_US
dc.contributor.authorVlahu-Gjorgievska, Elenaen_US
dc.contributor.authorKoceski, Sashoen_US
dc.contributor.authorBakeva, Vericaen_US
dc.date.accessioned2022-10-31T12:05:24Z-
dc.date.available2022-10-31T12:05:24Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/23980-
dc.description.abstractPervasive health care takes steps to design, develop, and evaluate computer technologies that help citizens participate more closely in their own healthcare, on one hand, and on the other to provide flexibility in the life of patient who lead an active everyday life with work, family and friends. This paper presents a novel collaborative algorithm that generates recommendations and suggestions for preventive intervention. The main purpose of this algorithm is to find the dependency of the users’ health condition and physical activities he/she performs. The recommendation algorithm, presented in this paper, is part of the Collaborative health care system model called COHESY. COHESY improves quality of care and life to its users, by offering freedom to enjoy life with the confidence that a medical professional is monitoring theirs health condition.en_US
dc.subjectPersonal healthcare, recommendation algorithm, classification, clusteringen_US
dc.titleAnalysis of the recommendation algorithm in COHESYen_US
dc.typeProceedingsen_US
dc.relation.conferenceICT Innovations 2013en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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