Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/23980
Title: Analysis of the recommendation algorithm in COHESY
Authors: Kulev, Igor 
Vlahu-Gjorgievska, Elena
Koceski, Sasho
Bakeva, Verica 
Keywords: Personal healthcare, recommendation algorithm, classification, clustering
Issue Date: 2013
Conference: ICT Innovations 2013
Abstract: Pervasive 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.
URI: http://hdl.handle.net/20.500.12188/23980
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

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