Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2016

01.01.2016

PHR Based Life Health Index Mobile Service Using Decision Support Model

verfasst von: Hoill Jung, Kyungyong Chung

Erschienen in: Wireless Personal Communications | Ausgabe 1/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In modern society, interest in health is increasing and the development of medical devices and wireless communication enabled people to get healthcare services easily anytime and anywhere, i.e. ubiquitous healthcare. The development of IT convergence and network technology enabled users to obtain user-centered useful information easily through portable mobile devices as well as computers. Currently, healthcare related user-centered healthcare contents are being actively served and demand related to disease prevention or health promotion is steadily increasing. This paper proposes PHR-based life health index mobile services using a decision support model. A decision support model is developed by using health index related data of existing health weather index service and national health and nutrition survey provided by the Korea Meteorological Administration (KMA) and applications of the mobile environment are developed so that users can receive healthcare services easily anytime and anywhere. The developed mobile service application implemented its interface for the user’s convenient healthcare and was developed to enable interlocking with the user’s PHR information through web server. Unlike comprehensive and standardized index services of existing KMA health weather index and life health index service, the developed mobile service is serving the user’s health status in three stages of danger, alert, safety by using personalized PHR information. The development of the PHR-based life health index mobile service using the decision making model allowed users to check current health status index and obesity measurement, body mass index (BMI), abdominal obesity, potential obesity risk index etc. easily anytime and anywhere only with simple input in the interface of mobile application. Also, accurate and subdivided services can be offered to users and more personalized services enable users to use efficient healthcare service.
Vorheriger Artikel A Digitalized Recomposition Technique Based on Photo Quality Evaluation Criteria
Nächster Artikel A Study on Stable Data Transmission Using Hierarchical Share Group in Mobile Ad Hoc Network

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Fußnoten
1
The R project, www.​r-project.​org.
 
2
Korea Meteorological Administration, http://​web.​kma.​go.​kr/​eng.
 
Literatur
1.
Jung, E. Y., Kim, J. H., Chung, K. Y., & Park, D. K. (2013). Home health gateway based healthcare services through U-health platform. Wireless Personal Communications, 73(2), 207–218.CrossRef
2.
Song, C. W., Lee, D., Chung, K. Y., Rim, K. W., & Lee, J. H. (2014). Interactive middleware architecture for lifelog based context awareness. Multimedia Tools and Applications, 71(2), 813–826.CrossRef
3.
Yang, J. H., Kim, J. K., Kang, U. G., & Lee, Y.-H. (2013). Coronary heart disease optimization system on adaptive-network-based fuzzy inference system and linear discriminant analysis. Personal Ubiquitous Computing, 17(7), 1315–1572.CrossRef
4.
Anooj, P. K. (2001). Clinical decision support system: Risk level prediction of heart disease using decision tree fuzzy rules. International Journal of Human Computer Interaction, 16(2), 97–166.CrossRef
5.
Jung, H., & Chung, K. (2015). Sequential pattern profiling based bio-detection for smart health service. Cluster Computing, 18(1), 209–219.CrossRef
6.
7.
8.
Kim, J. H., & Chung, K. Y. (2014). Ontology-based healthcare context information model to implement ubiquitous environment. Multimedia Tools and Applications, 71(2), 873–888.CrossRef
9.
Zheng, J. W., Zhang, Z. B., Wu, T. H., & Zhang, Y. (2007). A wearable mobihealth care system supporting real-time diagnosis and alarm. Medical Biological Engineering Computing, 45(9), 877–885.CrossRef
10.
Park, J. H., & Hwang, T. (2011). IT convergence healthcare technology. KICS Information and Communications Magazine, 28(5), 21–27.
11.
Xiao, Y., Takahashi, D., Liu, J., Deng, H., & Zhang, J. (2011). Wireless telemedicine and m-health: Technologies, applications and research issues. International Journal of Sensor Networks, 10(4), 202–236.CrossRef
12.
Oh, S. Y., Ghose, S., Chung, K., Han, J. S. (2014). Recent trends in convergence based smart healthcare service. International Journal of Technology and Health Care, 22(3), 303–307.
13.
Oh, S. Y., Ghose, S., Jeong, Y. K., Ryu, J. K., Han, J. (2015). Convergence security systems. International Journal of Computer Virology and Hacking, 11(3), 119–121.CrossRef
14.
Kim, J., Lee, J. (2015). Mobile, ubiquitous multimedia and digital convergence. Cluster Computing, 18(1), 243–245.CrossRef
15.
Chung, K., Oh, S. Y. (2015). Improvement of speech signal extraction method using detection filter of energy spectrum entropy. Cluster Computing, 18(2), 629–635.CrossRef
16.
Bodenheimer, T., Lorig, K., Holman, H., & Grumbach, K. (2002). Patient self-management of chronic disease in primary care. The Journal of the American Medical Association, 288(19), 2469–2475.CrossRef
17.
Chung, K. Y. (2014). Recent trends on convergence and ubiquitous computing. Personal and Ubiquitous Computing, 18(6), 1291–1293.CrossRef
18.
Chung, K., Boutaba, R., & Hariri, S. (2014). Recent trends in digital convergence information system. Wireless Personal Communications, 79(4), 2409–2413.CrossRef
19.
20.
Kim, J. K., Lee, J. S., Park, D. K., Lim, Y. S., & Lee, Y. H. (2014). Adaptive mining prediction model for content recommendation to coronary heart disease patients. Cluster Computing, 17(3), 881–891.CrossRef
21.
Park, D., Kim, J., Kim, J., Jung, E., & Lee, Y. (2011). U-health service model for managing health of chronic patients in multi-platform environment. The Journal of the Korea Contents Association, 11(8), 23–32.CrossRef
22.
Kim, S. H., & Chung, K. (2015). Emergency situation monitoring service using context motion tracking of chronic disease patients. Cluster Computing, 18(2), 747–759.CrossRef
23.
Kim, H., Jo, J., Choi, Y., Oh, J., Lee, J., & Yoon, K. (2010). Ubiquitous health care system for chronic disease management. Journal of Korea Information and Communications Magazine, 27(9), 3–8.
24.
Korea Centers for Disease Control and Prevention. (2012). In 6th Korean national health and nutrition examinations survey (KNHANES V-1). Centers for Disease Control and Prevention.
25.
Kim, J. H., Lee, D., & Chung, K. Y. (2014). Item recommendation based on context-aware model for personalized U-healthcare service. Multimedia Tools and Applications, 71(2), 855–872.CrossRefMathSciNet
26.
Yen, Y. S., Chiang, W. C., Wang, H. Y., & Shiah, C. Y. (2011). WiMAX network for health care telemonitoring service. In Proceedings of the 2011 international conference on information science and applications (Vol. 1, pp. 1–7).
27.
Lee, M. S. (2010). Chronic diseases, depressive symptoms and the effects of social networks in Korean elderly population. Korean Association of Health and Medical Sociology, 27, 5–30.
28.
Jung, H., & Chung, K. Y. (2014). Discovery of automotive design paradigm using relevance feedback. Personal and Ubiquitous Computing, 18(6), 1363–1372.CrossRef
29.
Jung, H., Yoo, H., Lee, Y. H., & Chung, K. Y. (2015). Interactive pain nursing intervention system for smart health service. Multimedia Tools and Applications, 74(7), 2449–2466.CrossRef
30.
31.
Friedman, M., Noy, T. B., Blau, M., & Kandel, A. (1998). Certain computational aspects of fuzzy decision trees. Fuzzy Sets and Systems, 28(2), 163–170.CrossRefMathSciNetMATH
32.
Yeon, J., Lee, D., Shim, J., & Lee, S.-G. (2011). Product review data and sentiment analytical processing modeling. Journal of Society for E-Business Studies, 16(4), 125–137.CrossRef
33.
Chung, K. Y., Na, Y. J., & Lee, J. H. (2013). Interactive design recommendation using sensor based smart wear and weather WebBot. Wireless Personal Communications, 73(2), 243–256.CrossRef
34.
Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules. In Proceedings of the international conference on very large databases (pp. 487–499).
35.
Agrawal, R., Imielinski, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. In Proceedings of ACM SIGMOD on management of data (pp. 207–216).
36.
Clifton, C., & Marks, D. (1996). Security and privacy implications of data mining. In Proceedings of international workshop on data mining and knowledge discovery, Montreal, Canada (pp. 15–19).
37.
Han, J., Pei, J., Yin, Y., & Mao, R. (2004). Mining frequent patterns without candidate generation: A frequent-pattern tree approach. In Proceedings of international workshop on data mining and knowledge discovery (pp. 53–87).
38.
Saygin, Y., Verykios, V. S., & Elmagarmid, A. K. (2002). Privacy preserving association rule mining. In Proceedings of international workshop on research issues in data engineering: Engineering e-commerce/e-business systems (pp. 151–158).
39.
Jung, E. Y., Kim, J., Chung, K. Y., & Park, D. K. (2014). Mobile healthcare application with emr interoperability for diabetes patients. Cluster Computing, 17(3), 871–880.CrossRef
40.
Jung, H., & Chung, K. Y. (2014). Mining based associative image filtering using harmonic mean. Cluster Computing, 17(3), 767–774.CrossRef
41.
Chung, K. Y., & Lee, J. H. (2004). User preference mining through hybrid collaborative filtering and content-based filtering in recommendation system. IEICE Transaction on Information and Systems, 87(12), 2781–2790.MathSciNet
42.
Olson, D., & Courtney, J. (1992). Decision support models and expert system. Macmillan Publishing Company.
43.
Turban, E., Aronson, J., & Liang, T. P. (2005). Decision support systems and intelligent systems (7th ed.). Pearson Prentice Hall.
44.
Park, R. C., Jung, H., Chung, K., & Yoon, K. H. (2015). Picocell based telemedicine health service for human UX/UI. Multimedia Tools and Applications, 74(7), 2519–2534.CrossRef
45.
Kim, J. H., Kim, J., Lee, D., & Chung, K. Y. (2014). Ontology driven interactive healthcare with wearable sensors. Multimedia Tools and Applications, 71(2), 827–841.CrossRefMathSciNet
46.
Chung, K., Kim, J. C., & Park, R. C. (2015). Knowledge based health service considering user convenience using hybrid Wi-Fi P2P. Information Technology and Management. doi:10.​1007/​s10799-015-0241-5.
47.
Kim, S. H., & Chung, K. Y. (2014). 3D simulator for stability analysis of finite slope causing plane activity. Multimedia Tools and Applications, 68(2), 455–463.CrossRef
48.
Kim, J. C., Jung, H., Kim, S. H., & Chung, K. (2015). Slope based intelligent 3D disaster simulation using physics engine. Wireless Personal Communications. doi:10.​1007/​s11277-015-2788-1.
Metadaten
Titel
PHR Based Life Health Index Mobile Service Using Decision Support Model
verfasst von
Hoill Jung
Kyungyong Chung
Publikationsdatum
01.01.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2016
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-015-3069-8

Weitere Artikel der Ausgabe 1/2016

Wireless Personal Communications 1/2016 Zur Ausgabe

BriefCommunication

Dynamic Bio-sensing Process Design in Mobile Wellness Information System for Smart Healthcare

OriginalPaper

A Development of a Lighting Control System Based on Context-Awareness for the Improvement of Learning Efficiency in Classroom

Editorial

Communication and Ubiquitous Computing

OriginalPaper

An Adaptive Asymmetric Transmission Scheme for MPEG-4/SVC Signals in MIMO-OFDM System

OriginalPaper

Safe Data Transmission Architecture Based on Cloud for Internet of Things

OriginalPaper

Mobile-Based DoS Attack Security Agent in Sensor Networking

Neuer Inhalt

    Bildnachweise