Life data monitoring and analysis model for personalized healthcare

Jeong Dong Kim, Hong Seok Na, Suk Hyung Hwang, Hoh In, Doo Kwon Baik

Research output: Contribution to journalArticle

Abstract

As the focus of personal healthcare shifts from patient treatment to early detection and prevention, it is becoming increasingly important to manage personal wellness in our daily lives. Personal health monitoring of physical activities and status can be used to show users the distribution of their daily activities, making it easier for people to assess their health, adopt better lifestyles, and potentially decrease the occurrence of chronic diseases. In this paper, we propose a CA5W1HOnto-based life data monitoring model that provides basic monitored information from various devices and ensures preventive and proactive service for personalized healthcare. Additionally, we propose a life data analysis method to correlate the self-monitoring of activities with the status of the human body.

Original languageEnglish
Pages (from-to)S49-S57
JournalTechnology and Health Care
Volume24
Issue numbers1
DOIs
Publication statusPublished - 2015 Dec 8

Fingerprint

Delivery of Health Care
Monitoring
Health
Human Body
Patient treatment
Life Style
Chronic Disease
Exercise
Equipment and Supplies
Therapeutics

Keywords

  • CA5W1HOnto
  • life data analysis
  • Life data monitoring
  • ontological concept
  • personalized healthcare
  • self-monitoring

ASJC Scopus subject areas

  • Biophysics
  • Biomaterials
  • Bioengineering
  • Biomedical Engineering
  • Information Systems
  • Health Informatics

Cite this

Life data monitoring and analysis model for personalized healthcare. / Kim, Jeong Dong; Na, Hong Seok; Hwang, Suk Hyung; In, Hoh; Baik, Doo Kwon.

In: Technology and Health Care, Vol. 24, No. s1, 08.12.2015, p. S49-S57.

Research output: Contribution to journalArticle

Kim, Jeong Dong ; Na, Hong Seok ; Hwang, Suk Hyung ; In, Hoh ; Baik, Doo Kwon. / Life data monitoring and analysis model for personalized healthcare. In: Technology and Health Care. 2015 ; Vol. 24, No. s1. pp. S49-S57.
@article{c58f6d4b5c59421d9fb0e54e4f89ae96,
title = "Life data monitoring and analysis model for personalized healthcare",
abstract = "As the focus of personal healthcare shifts from patient treatment to early detection and prevention, it is becoming increasingly important to manage personal wellness in our daily lives. Personal health monitoring of physical activities and status can be used to show users the distribution of their daily activities, making it easier for people to assess their health, adopt better lifestyles, and potentially decrease the occurrence of chronic diseases. In this paper, we propose a CA5W1HOnto-based life data monitoring model that provides basic monitored information from various devices and ensures preventive and proactive service for personalized healthcare. Additionally, we propose a life data analysis method to correlate the self-monitoring of activities with the status of the human body.",
keywords = "CA5W1HOnto, life data analysis, Life data monitoring, ontological concept, personalized healthcare, self-monitoring",
author = "Kim, {Jeong Dong} and Na, {Hong Seok} and Hwang, {Suk Hyung} and Hoh In and Baik, {Doo Kwon}",
year = "2015",
month = "12",
day = "8",
doi = "10.3233/THC-151051",
language = "English",
volume = "24",
pages = "S49--S57",
journal = "Technology and Health Care",
issn = "0928-7329",
publisher = "IOS Press",
number = "s1",

}

TY - JOUR

T1 - Life data monitoring and analysis model for personalized healthcare

AU - Kim, Jeong Dong

AU - Na, Hong Seok

AU - Hwang, Suk Hyung

AU - In, Hoh

AU - Baik, Doo Kwon

PY - 2015/12/8

Y1 - 2015/12/8

N2 - As the focus of personal healthcare shifts from patient treatment to early detection and prevention, it is becoming increasingly important to manage personal wellness in our daily lives. Personal health monitoring of physical activities and status can be used to show users the distribution of their daily activities, making it easier for people to assess their health, adopt better lifestyles, and potentially decrease the occurrence of chronic diseases. In this paper, we propose a CA5W1HOnto-based life data monitoring model that provides basic monitored information from various devices and ensures preventive and proactive service for personalized healthcare. Additionally, we propose a life data analysis method to correlate the self-monitoring of activities with the status of the human body.

AB - As the focus of personal healthcare shifts from patient treatment to early detection and prevention, it is becoming increasingly important to manage personal wellness in our daily lives. Personal health monitoring of physical activities and status can be used to show users the distribution of their daily activities, making it easier for people to assess their health, adopt better lifestyles, and potentially decrease the occurrence of chronic diseases. In this paper, we propose a CA5W1HOnto-based life data monitoring model that provides basic monitored information from various devices and ensures preventive and proactive service for personalized healthcare. Additionally, we propose a life data analysis method to correlate the self-monitoring of activities with the status of the human body.

KW - CA5W1HOnto

KW - life data analysis

KW - Life data monitoring

KW - ontological concept

KW - personalized healthcare

KW - self-monitoring

UR - http://www.scopus.com/inward/record.url?scp=84951856163&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84951856163&partnerID=8YFLogxK

U2 - 10.3233/THC-151051

DO - 10.3233/THC-151051

M3 - Article

VL - 24

SP - S49-S57

JO - Technology and Health Care

JF - Technology and Health Care

SN - 0928-7329

IS - s1

ER -