Browse > Article
http://dx.doi.org/10.6109/jkiice.2016.20.9.1785

Ontology Components for the Depression Management based on Context  

Kang, Yun-Jeong (Division of Information and Electronic Commerce, College of Business Administration, Wonkwang University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.9, 2016 , pp. 1785-1790 More about this Journal
Abstract
There is exhibit a degree of pain in the occurrence and course of treatment levels or oral, pain rating scale actions, such as illness, for example, the discomfort scale because of the pain "annoying", "unpleasant" "annoyed am", "painful" represents a pain scale of the order of "painful", "hard to bear", "very difficult to bear". Depression is recognized based on the premise of the situation, because it is difficult to recognize themselves. In this paper we define the components of the depression can be seen lifestyle which can lead to depression or through a biological signal. The depression index was derived from the ontology modeling to understand the state of depression. Depression ontology components and depression index will be aware of the situation based information services for depression. Combined with the situational awareness based devices and can be synchronized to verify the results of the depression index. It will be applied to improve lifestyle factors that of depression.
Keywords
Context Aware; Depression Care; Depression Index; Life Log; Ontology;
Citations & Related Records
연도 인용수 순위
  • Reference
1 World Health Organization, Media centre, Depression, [Internet]. Available: http://www.who.int/mediacentre/factsheets /fs369/en/.
2 Healthcare Bigdata Hub [Internet]. Available: http://opendata.hira.or.kr/.
3 P. Cassano, M. Fava, "Depression and public health: An overview," Journal of Psychosomatic Research, vol. 53, no. 4, pp. 849-857, Oct. 2002.   DOI
4 X. H. Wang, D. Q. Zhang, T. Gu, H. K. Pung, "Ontology based context modeling and reasoning using OWL." Proceedings of the Second IEEE Annual Conference on. Ieee, IEEE Computer Society, pp. 18-22, Mar. 2004.
5 R. J. Davidson. "Anterior cerebral asymmetry and the nature of emotion," Brain and Cognition, vol. 20, no. 1, pp. 125-151, Sep. 1992.   DOI
6 M. H. Whaley, P. H. Brubaker, R. M. Otto, L. E. Armstrong, American College of Sports Medicine, ACSM's guidelines for exercise testing and prescription. Baltimore, MD: Lippincott Williams & Wilkins, 2005.
7 D. P. Heila, "Predicting activity energy expenditure using the Actical activity monitor," Research Quarterly for Exercise and Sport, vol. 77, no. 1, pp.64-80, Mar. 2006.   DOI
8 S. Saeb, M. Zhang, C. J. Karr, S. M. Schueller, M. E. Corden, K. P. Kording, D. C. Mohr, "Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study," Journal of Medical Internet Research, vol. 17, no. 7, pp. 175, Jul. 2015.   DOI
9 Woman Health Care Chosun.com [Internet]. Available : http://news.chosun.com/site/data/html_dir/2016/02/03/2016020301162.html.
10 The Hankyoreh [Internet]. Available :http://legacy.www.hani.co.kr/section-010100020/2005/03/01010002020050311620001.html.