Computer Science and Information Systems 2013 Volume 10, Issue 3, Pages: 1455-1471
https://doi.org/10.2298/CSIS120921057K
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Development of a novel recommendation algorithm for collaborative health: Care system model
Kulev Igor (Faculty of Computer Science and Engineering, University "Ss Cyril and Methodious", "Rugjer Boshkovikj", Skopje Macedonia)
Vlahu-Gjorgievska Elena (Faculty of administration and information systems management, University “St.Kliment Ohridski”, Bitola, Macedonia)
Trajkovik Vladimir (Faculty of Computer Science and Engineering, University "Ss Cyril and Methodious", "Rugjer Boshkovikj" , Skopje Macedonia)
Koceski Saso (Faculty of Computer Science, University “GoceDelcev”, Stip, Macedonia)
The recent trend in healthcare support systems is the development of
patient-centric pervasive environments in addition to the hospital-centric
one. 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
patients’ active everyday life with work, family and friends. This paper
presents the mathematical model of a novel algorithm that generates
recommendations and suggestions for preventive intervention instead of
emergency care and hospital admissions. The main purpose of this algorithm
is to find the dependence between users’ health condition and performed
physical activities. In this way, the proposed algorithm generates
recommendations that will help the user to adapt his physical activities in
order to improve his own health. These recommendations also encourage users
to lead an active life filled with physical activities and thus become
direct participants in maintaining their own health care. The proposed
algorithm has been validated using generic data. The results of this
validation are presented and conclusions are derived.
Keywords: personal healthcare, recommendation algorithm, fuzzy discretization