NDLI: A Framework for Personalized Health Trend Analysis

Content Provider	IEEE Xplore Digital Library
Author	Guo-Cheng Lan Chao-Hui Lee Jin-Shang Wu Huan-Chung Li Shing-Hua Ho Tseng, V.S.
Copyright Year	2009
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.
Starting Page	405
Ending Page	409
File Size	355470
Page Count	5
File Format	PDF
ISBN	9781424454037
e-ISBN	9781424454044
DOI	10.1109/I-SPAN.2009.126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cardiac disease Data mining Cardiovascular diseases Information analysis Computer science Biomedical engineering Application software Computer industry Medical services Predictive models prediction model data mining health examination health risk pattern disease analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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