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Evaluating an Ordered List of Recommended Physical Activities within Health Care System

Journal Article


Abstract


  • Information and communication technologies make it possible to bridge the gap and time barriers in the flow of health information and knowledge, allowing every involved part in the health process to have access to the information. This approach provides the knowledge of the individual to contribute effectively to the improvement in human health. But also, helps the collective knowledge effectively to solve health problems on individual level. In this paper we are evaluating the algorithm that generates recommendation for users. We are using simulations on generic data to see how different types of activities are affecting the accuracy of the algorithm. On the basis of the performed activities and blood glucose measurements, our recommendation algorithm should determine list of activities that have bigger influence on the change of the blood glucose levels. Generic data for our simulations are based on modeling of food intake and physical activity influence over the blood glucose level. © Springer International Publishing Switzerland 2015.

UOW Authors


  •   Kulev, Igor (external author)
  •   Vlahu-Gjorgievska, Elena
  •   Koceski, Saso (external author)
  •   Trajkovik, Vladimir (external author)

Publication Date


  • 2015

Citation


  • Kulev, I., Vlahu-Gjorgievska, E., Koceski, S. & Trajkovik, V. (2015). Evaluating an Ordered List of Recommended Physical Activities within Health Care System. Advances in Intelligent Systems and Computing, 311 237-248. Advances in Intelligent Systems and Computing

Scopus Eid


  • 2-s2.0-84906311299

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/426

Number Of Pages


  • 11

Start Page


  • 237

End Page


  • 248

Volume


  • 311

Place Of Publication


  • United Kingdom

Abstract


  • Information and communication technologies make it possible to bridge the gap and time barriers in the flow of health information and knowledge, allowing every involved part in the health process to have access to the information. This approach provides the knowledge of the individual to contribute effectively to the improvement in human health. But also, helps the collective knowledge effectively to solve health problems on individual level. In this paper we are evaluating the algorithm that generates recommendation for users. We are using simulations on generic data to see how different types of activities are affecting the accuracy of the algorithm. On the basis of the performed activities and blood glucose measurements, our recommendation algorithm should determine list of activities that have bigger influence on the change of the blood glucose levels. Generic data for our simulations are based on modeling of food intake and physical activity influence over the blood glucose level. © Springer International Publishing Switzerland 2015.

UOW Authors


  •   Kulev, Igor (external author)
  •   Vlahu-Gjorgievska, Elena
  •   Koceski, Saso (external author)
  •   Trajkovik, Vladimir (external author)

Publication Date


  • 2015

Citation


  • Kulev, I., Vlahu-Gjorgievska, E., Koceski, S. & Trajkovik, V. (2015). Evaluating an Ordered List of Recommended Physical Activities within Health Care System. Advances in Intelligent Systems and Computing, 311 237-248. Advances in Intelligent Systems and Computing

Scopus Eid


  • 2-s2.0-84906311299

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/426

Number Of Pages


  • 11

Start Page


  • 237

End Page


  • 248

Volume


  • 311

Place Of Publication


  • United Kingdom