Connected-Health Algorithm: Development and Evaluation.
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 reco...
| Publicado en: | Journal of Medical Systems Vol. 40; no. 4; pp. 1 - 8 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115925289&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115925289 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Apr2016 vid: 40 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115925289 115925289 115925289 10.1007/s10916-016-0466-9 115925289 ppf: 1 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Connected-Health Algorithm: Development and Evaluation. aug: au: Vlahu-Gjorgievska, Elena Koceski, Saso Kulev, Igor Trajkovik, Vladimir affil: Faculty of Information and Communication Technologies, University 'St. Kliment Ohridski', Bitola Republic of Macedonia sug: subj: Algorithms Physical Activity Health Promotion Methods Health Information Systems Program Development Program Evaluation Human Descriptive Statistics Health Status Funding Source ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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