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Connected-Health Algorithm: Development and Evaluation

  • Patient Facing Systems
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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.

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Acknowledgments

The authors acknowledge the contribution of the COST Action TD1405- European Network for the Joint Evaluation of Connected Health Technologies (ENJECT)

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Authors and Affiliations

  1. Faculty of Information and Communication Technologies, University “St. Kliment Ohridski”, Bitola, Republic of Macedonia

    Elena Vlahu-Gjorgievska

  2. Faculty of Computer Science, University “Goce Delcev”, Stip, Republic of Macedonia

    Saso Koceski

  3. Faculty of Computer Science and Engineering, University “Ss Cyril and Methodious”, Skopje, Republic of Macedonia

    Igor Kulev & Vladimir Trajkovik

Authors
  1. Elena Vlahu-Gjorgievska
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  2. Saso Koceski
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  3. Igor Kulev
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  4. Vladimir Trajkovik
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Corresponding author

Correspondence to Elena Vlahu-Gjorgievska.

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This article is part of the Topical Collection on Patient Facing Systems

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Vlahu-Gjorgievska, E., Koceski, S., Kulev, I. et al. Connected-Health Algorithm: Development and Evaluation. J Med Syst 40, 109 (2016). https://doi.org/10.1007/s10916-016-0466-9

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  • DOI: https://doi.org/10.1007/s10916-016-0466-9

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