Analysis of the recommendation algorithm in COHESY
Date Issued
2013
Author(s)
Vlahu-Gjorgievska, Elena
Koceski, Sasho
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.
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.
Subjects
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