More Web Proxy on the site http://driver.im/

article

Knowledge-based dietary nutrition recommendation for obese management

Authors:

Kyungyong ChungAuthors Info & Claims

Information Technology and Management, Volume 17, Issue 1

Pages 29 - 42

https://doi.org/10.1007/s10799-015-0218-4

Published: 01 March 2016 Publication History

Abstract

As the basic paradigm of health management has changed from diagnosis and treatment to preventative management, health improvement and management has received growing attention in societies around the world. Recently the number of obese youth has risen globally and obesity has caused serious problems regarding almost all of the diseases of these days. This study presents dietary nutrition recommendations based on knowledge for obese youth. The knowledge-based dietary nutrition recommendations herein include not only static dietary nutritional data but also individualized diet menus for them by utilizing knowledge-based context data through a collaborative filtering method. The suggested method utilizes the basic information on obese youth, forms a similarity clustering with a high correlation, applies the similarity weight on {user-menu} matrix within the similarity clustering and utilizes the knowledge based collaborative filtering to recommend the dietary nutritional menu. Also by using the knowledge-based context-aware modeling, the study constitutes a {user-menu} merge matrix and solves the sparse problem of previous recommendation system. The suggested method herein, unlike the conventional uniformed dietary nutrition recommendations for obesity management, is capable of providing the personalized recommendations. Also through mobile devices, users can receive personalized recipes and menus anytime and anywhere. By using the proposed method, the researcher develops a mobile application of dietary nutrition recommendation service for obese management. A mobile interface will be built herein and applied in an experiment to test its logical validity and effectiveness.

References

[1]

Jalalali M, Mustapha N, Sulaiman MDN, Matmat A (2010) WebPUM: a web-based recommendation system to predict user future movements. J Expert Syst Appl 37(9):6201---6212

[2]

Jung EY, Kim JH, Chung KY, Park DK (2013) Home health gateway based healthcare services through U-health platform. Wireless Pers Commun 73(2):207---218

Digital Library

[3]

Kim SH, Chung KY (2013) Medical information service system based on human 3D anatomical model. Multimed Tools Appl.

[4]

Kim JH, Lee D, Chung KY (2011) Item recommendation based on context-aware model for personalized u-healthcare service. Multimed Tools Appl.

[5]

Park RC, Jung H, Shin DK, Cho YH, Lee KD (2014) Telemedicine health service using LTE-advanced relay antenna. Pers Ubiquitous Comput.

[6]

Wang BR, Park JY, Chung KY, Choi I (2014) Influential factors of smart health users according to usage experience and intention to use. Wireless Pers Commun 79(4):2671---2683

Digital Library

[7]

Jung H, Yoo H, Chung K, Lee Y (2013) Performance analysis of intelligence pain nursing intervention u-health system. J Korea Contents Assoc 13(4):1---7

[8]

Jung H, Chung KY, Lee YH (2013) Decision supporting method for chronic disease patients based on mining frequent pattern. Multimed Tools Appl.

[9]

Jung H, Yang JG, Woo JI, Lee BM, Ouyang J, Chung KY, Lee YH (2015) Evolutionary rule decision using similarity based associative chronic disease patients. Clust Comput 18(1):279---291

Digital Library

[10]

Yoon KH, Lee JH, Kim JW, Cho JH, Choi YH, Ko SH, Zimmet P, Son HY (2006) Epidemic obesity and type 2 diabetes in Asia. Lancet 368(9548):1681---1688

[11]

Roslia AN, Youa T, Haa I, Chung K-Y, Jo G-S (2014) Alleviating the cold-start problem by incorporating movies facebook pages. Cluster Comput 18(1):187---197

[12]

Kim JK, Lee JS, Park DK, Lim YS, Lee YH (2014) Adaptive mining prediction model for content recommendation to coronary heart disease patients. Cluster Comput 17(3):881---891

Digital Library

[13]

Song CW, Lee D, Chung KY, Rim KW, Lee JH (2014) Interactive middleware architecture for lifelog based context awareness. Multimed Tools Appl 71(2):813---826

Digital Library

[14]

Dimitrios A, Alexandrou et al. (2006) UMIMATE: a ubiquitous healthcare emergency platform. In: The International Special Topic Conference on Information Technology in Biomedicine

[15]

Lee JH (2008) Implementiation of U-healthcare monitoring system based on USN. J Korea Inf Commun Soc 33(2):75---81

[16]

Chung K (2014) Recent trends on convergence and ubiquitous computing. Pers Ubiquit Comput 18(6):1291---1293

Digital Library

[17]

Oh S, Ghose S, Chung K (2014) Recent trends in intelligent information system for convergence. Int J Intell Inf Database Syst 8(2):81---84

[18]

Boutaba R, Chung K, Gen M (2014) Recent trends in interactive multimedia computing for industry. Cluster Comput 17(3):723---726

Digital Library

[19]

Chung K, Boutaba R, Hariri S (2014) Recent trends in digital convergence information system. Wireless Pers Commun 79(4):2409---2413

Digital Library

[20]

Baek S, Han J, Chung K (2013) Dynamic reconfiguration based on goal-scenario by adaptation strategy. Wireless Pers Commun 73(2):309---318

Digital Library

[21]

Ha OK, Song YS, Chung KY, Lee KD, Park D (2014) Relation model describing the effects of introducing RFID in the supply chain: evidence from the food and beverage industry in South Korea. Pers Ubiquit Comput 18(3):553---561

Digital Library

[22]

Kang SK, Chung KY, Ryu JK, Rim KW, Lee JH (2013) Bio-interactive healthcare service system using lifelog based context computing. Wireless Pers Commun 73(2):341---351

Digital Library

[23]

Pazzani MJ (1999) A framework for collaborative, content-based and demographic filtering. J Artif Intell Rev 13(5):393---408

[24]

Kim JH (2010) Context-information based item recommendation technique for personalized u-healthcare service. In: Doctorate thesis, Inha University

[25]

Kim JH, Chung KY (2014) Ontology-based healthcare context information model to implement ubiquitous environment. Multimed Tools Appl 71(2):873---888

Digital Library

[26]

Kim JK, Lee D, Chung KY (2012) Ontology driven interactive healthcare with wearable sensors. Multimed Tools Appl.

[27]

Kim S, Chung K (2014) 3D Simulator for stability analysis of finite slope causing plane activity. Multimed Tools Appl 68(2):455---463

Digital Library

[28]

Scott AJ, Knott M (1974) A cluster analysis method for grouping means in the analysis of variance. J Biom 30(3):507---512

[29]

Eisen MB, Spellman PT, Brown PO, Botstein D (1998) Cluster analysis and display of genome-wide expression patterns.In: Proceedings of the National Academy of Sciences, pp. 14863---14868

[30]

Yoo H (2011) Pain nursing intervention supporting system using collaborative filtering techniques, Master Paper, Sangji University

[31]

Ko SJ, Lee JH (2002) User preference mining through collaborative filtering and content based filtering in recommender system. In: Proceedings International Conference on E-commerce and Web Technologies, pp. 244---253

[32]

Kim TH, Yang SB (2005) An effective recommendation algorithm for clustering-based recommender systems. In: Proceedings of the International Conference on Artificial Intelligence, LNCS 3809, pp. 1150---1153

[33]

Jung H, Chung K (2014) Mining based Associative Image Filtering using Harmonic Mean. Cluster Computing 17(3):767---774

Digital Library

[34]

Agrawal R, Srikant R (1994) Fast Algorithms for Mining Association Rules. In: Proceedings of the 20th 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]

Kim HN, Jia AT, Haa IA, Joa GS (2010) Collaborative filtering based on collaborative tagging for enhancing the quality of recommendation. J Electron Commer Res Appl 9(1):73---83

[37]

Jung H, Chung K (2015) Sequential pattern profiling based bio-detection for smart health service. Cluster Comput 18(1):209---219

Digital Library

[38]

Pazzani MJ (1999) A framework for collaborative, content-based and demographic filtering. Artif Intell Rev 13:393---408

Digital Library

[39]

Resnick P, Iacovou N, Suchak M, Bergstorm P, Riedl J (1994) GroupLens: an open architecture for collaborative filtering of netnews. In: Proceedings of ACM Conference on Computer-Supported Cooperative Work, pp. 175---186

[40]

Chung KY, Na Y, Lee JH (2013) Interactive design recommendation using sensor based smart wear and weather webbot. Wireless Pers Commun 73(2):243---256

Digital Library

Cited By

Mahajan PKaur P(2024)A Systematic Literature Review of Food Recommender SystemsSN Computer Science10.1007/s42979-023-02537-y5:1Online publication date: 8-Jan-2024
https://dl.acm.org/doi/10.1007/s42979-023-02537-y
Karthikram ASaravanan M(2024)An adaptive network model-based weighted similarity measure for CT image denoisingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09399-928:1(627-640)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s00500-023-09399-9
Yoo HChung KHan S(2021)Prediction of cardiac disease-causing pattern using multimedia extraction in health ontologyMultimedia Tools and Applications10.1007/s11042-020-09052-980:26-27(34713-34729)Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1007/s11042-020-09052-9
Show More Cited By

Knowledge-based dietary nutrition recommendation for obese management
1. Applied computing
  1. Life and medical sciences

Recommendations

Evolutionary rule decision using similarity based associative chronic disease patients

Efficient healthcare management has increasingly drawn much attention in healthcare sector along with recent advances in IT convergence technology. Population aging and a shift from an acute to a chronic disease with a long duration of illness have ...
Life style improvement mobile service for high risk chronic disease based on PHR platform

As IT convergence technique develops, medical technology and apparatus are being modernized opening the era that we can obtain variable information easily anywhere, anytime thanks to wireless communication developed, further. These social changes ...
Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning

Recommender systems in e-learning domain play an important role in assisting the learners to find useful and relevant learning materials that meet their learning needs. Personalized intelligent agents and recommender systems have been widely accepted as ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Information Technology and Management

Information Technology and Management Volume 17, Issue 1

March 2016

103 pages

ISSN:1385-951X

Issue’s Table of Contents

Copyright © Copyright © 2016 Springer Science+Business Media New York.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 March 2016

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

30
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 04 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Mahajan PKaur P(2024)A Systematic Literature Review of Food Recommender SystemsSN Computer Science10.1007/s42979-023-02537-y5:1Online publication date: 8-Jan-2024
https://dl.acm.org/doi/10.1007/s42979-023-02537-y
Karthikram ASaravanan M(2024)An adaptive network model-based weighted similarity measure for CT image denoisingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09399-928:1(627-640)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s00500-023-09399-9
Yoo HChung KHan S(2021)Prediction of cardiac disease-causing pattern using multimedia extraction in health ontologyMultimedia Tools and Applications10.1007/s11042-020-09052-980:26-27(34713-34729)Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1007/s11042-020-09052-9
Kim JChung K(2021)Knowledge expansion of metadata using script mining analysis in multimedia recommendationMultimedia Tools and Applications10.1007/s11042-020-08774-080:26-27(34679-34695)Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1007/s11042-020-08774-0
Sharma DSingh Aujla GBajaj R(2021)Deep neuro‐fuzzy approach for risk and severity prediction using recommendation systems in connected health careTransactions on Emerging Telecommunications Technologies10.1002/ett.415932:7Online publication date: 5-Jul-2021
https://dl.acm.org/doi/10.1002/ett.4159
Noh YSeo JJeong D(2020)Development of a Knowledge Discovery Computing based wearable ECG monitoring systemInformation Technology and Management10.1007/s10799-020-00318-021:4(205-216)Online publication date: 1-Dec-2020
https://dl.acm.org/doi/10.1007/s10799-020-00318-0
Park SLing TCha BKim J(2020)Design of containerized marine knowledge system based on IoT-Cloud and LoRaWANPersonal and Ubiquitous Computing10.1007/s00779-020-01381-826:2(269-281)Online publication date: 19-Feb-2020
https://dl.acm.org/doi/10.1007/s00779-020-01381-8
Li KJiang ZWang HLiu X(2020)Healthy diet recommendation via Food‐Nutrition‐Recipe Graph miningProceedings of the Association for Information Science and Technology10.1002/pra2.31957:1Online publication date: 22-Oct-2020
Kim JJang HKim JPan HPark R(2019)Big-Data Based Real-Time Interactive Growth Management System in Wireless CommunicationsWireless Personal Communications: An International Journal10.1007/s11277-018-5978-9105:2(655-671)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s11277-018-5978-9
Kim JChung K(2019)Associative Feature Information Extraction Using Text Mining from Health Big DataWireless Personal Communications: An International Journal10.1007/s11277-018-5722-5105:2(691-707)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s11277-018-5722-5
Show More Cited By

View Options

View options

Media

Figures

Other

Tables

View Issue’s Table of Contents