A framework for personalized health trend analysis

Guo Cheng Lan*, Chao Hui Lee, Jin Shang Wu, Huan Chung Li, Shing Hua Ho, S. Tseng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In recent years, with the development of the economy and the advancement of the national income, personal healthcare has been becoming an important issue. Since the health examination can help people understand their own health conditions clearly, many people make regularly health examinations to avoid missing the best treatment time. So the health examination is an important role for people's health statuses. However, people only get aware of the result of health examination report but they are not clear whether their health trends are high-risk or not. In this paper, we proposed a novel framework for discovering health risk patterns and the relationships between the patterns and a target disease by mining historic health examination data. Moreover, a prediction model for the target disease can be constructed effectively by the discovered information. Through the framework, the physicians can early provide health alerts and medical treatments for people to effectively increase the quality of disease prevention.

Original languageEnglish
Title of host publicationI-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks
Pages405-409
Number of pages5
DOIs
StatePublished - 1 Dec 2009
Event10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009 - Kaohsiung, Taiwan
Duration: 14 Dec 200916 Dec 2009

Publication series

NameI-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks

Conference

Conference10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009
CountryTaiwan
CityKaohsiung
Period14/12/0916/12/09

Keywords

  • Data mining
  • Disease analysis
  • Health examination
  • Health risk pattern
  • Prediction model

Fingerprint Dive into the research topics of 'A framework for personalized health trend analysis'. Together they form a unique fingerprint.

Cite this