Evaluation of physical activities recommendation methodology for blood glucose level regulation
Journal
International Journal of Informatics and Communication Technology (IJ-ICT)
Date Issued
2014-12
Author(s)
Koceski, Sasho
Vlahu-Gjorgievska, Elena
Trajkovik, Vladimir
Abstract
Providing patients with convenient health facilities at a low cost has always
been a great challenge for health service providers. Moreover, the fast
changing life style of the modern world and the problem of aging society
pose an urgent need to modernize such facilities. The emphasis has to be paid
on providing health monitoring in out-of-hospital conditions for elderly
people and patients who require regular supervision, particularly in remote
areas. This paper presents a recommendation algorithm, which incorporates
collaboration and classification techniques in order to generate
recommendations and suggestions for the physical activities that the users
should carry out in order to improve their health. The algorithm has been
evaluated using generic data and considering the daily food intake. The
results of the experimental evaluation show that the algorithm is robust and
could suggest the physical activities that might compensate the influence of
the food intake over the blood glucose level.
been a great challenge for health service providers. Moreover, the fast
changing life style of the modern world and the problem of aging society
pose an urgent need to modernize such facilities. The emphasis has to be paid
on providing health monitoring in out-of-hospital conditions for elderly
people and patients who require regular supervision, particularly in remote
areas. This paper presents a recommendation algorithm, which incorporates
collaboration and classification techniques in order to generate
recommendations and suggestions for the physical activities that the users
should carry out in order to improve their health. The algorithm has been
evaluated using generic data and considering the daily food intake. The
results of the experimental evaluation show that the algorithm is robust and
could suggest the physical activities that might compensate the influence of
the food intake over the blood glucose level.
Subjects
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