Vlahu-Gjorgievska, Elena and Koceski, Saso and Kulev, Igor and Trajkovik, Vladimir (2016) Connected-Health Algorithm: Development and Evaluation. Journal of Medical Systems, 40 (4). ISSN 0148-5598
Full text not available from this repository.Abstract
Nowadays, there is a growing interest towards the adoption of novel ICT technologies in the field of medical monitoring and personal health care systems. This paper proposes design of a connected health algorithm inspired from social computing paradigm. The purpose of the algorithm is to give a recommendation for performing a specific activity that will improve user’s health, based on his health condition and set of knowledge derived from the history of the user and users with similar attitudes to him. The algorithm could help users to have bigger confidence in choosing their physical activities that will improve their health. The proposed algorithm has been experimentally validated using real data collected from a community of 1000 active users. The results showed that the recommended physical activity, contributed towards weight loss of at least 0.5 kg, is found in the first half of the ordered list of recommendations, generated by the algorithm, with the probability > 0.6 with 1 % level of significance.
| Item Type: | Article |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences Engineering and Technology > Electrical engineering, electronic engineering, information engineering |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Saso Koceski |
| Date Deposited: | 11 Mar 2016 12:56 |
| Last Modified: | 11 Mar 2016 12:56 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/15611 |
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