A framework for personalized health trend analysis

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

doi:10.1109/I-SPAN.2009.126

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

Institute of Data Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks
Pages	405-409
Number of pages	5
DOIs	https://doi.org/10.1109/I-SPAN.2009.126
State	Published - 1 Dec 2009
Event	10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009 - Kaohsiung, Taiwan Duration: 14 Dec 2009 → 16 Dec 2009

Publication series

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

Conference

Conference	10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009
Country	Taiwan
City	Kaohsiung
Period	14/12/09 → 16/12/09

Keywords

Data mining
Disease analysis
Health examination
Health risk pattern
Prediction model

Access to Document

10.1109/I-SPAN.2009.126

Link to publication in Scopus

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

Cite this

Lan, G. C., Lee, C. H., Wu, J. S., Li, H. C., Ho, S. H., & Tseng, S. (2009). A framework for personalized health trend analysis. In I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks (pp. 405-409). [5381562] (I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks). https://doi.org/10.1109/I-SPAN.2009.126

@inproceedings{f60c65d23e2845b380610225bd7a7879,

title = "A framework for personalized health trend analysis",

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.",

keywords = "Data mining, Disease analysis, Health examination, Health risk pattern, Prediction model",

author = "Lan, {Guo Cheng} and Lee, {Chao Hui} and Wu, {Jin Shang} and Li, {Huan Chung} and Ho, {Shing Hua} and S. Tseng",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/I-SPAN.2009.126",

language = "English",

isbn = "9780769539089",

series = "I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks",

pages = "405--409",

booktitle = "I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks",

note = "null ; Conference date: 14-12-2009 Through 16-12-2009",

}

Lan, GC, Lee, CH, Wu, JS, Li, HC, Ho, SH & Tseng, S 2009, A framework for personalized health trend analysis. in I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks., 5381562, I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks, pp. 405-409, 10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009, Kaohsiung, Taiwan, 14/12/09. https://doi.org/10.1109/I-SPAN.2009.126

A framework for personalized health trend analysis. / Lan, Guo Cheng; Lee, Chao Hui; Wu, Jin Shang; Li, Huan Chung; Ho, Shing Hua; Tseng, S.

I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks. 2009. p. 405-409 5381562 (I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A framework for personalized health trend analysis

AU - Lan, Guo Cheng

AU - Lee, Chao Hui

AU - Wu, Jin Shang

AU - Li, Huan Chung

AU - Ho, Shing Hua

AU - Tseng, S.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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.

KW - Data mining

KW - Disease analysis

KW - Health examination

KW - Health risk pattern

KW - Prediction model

UR - http://www.scopus.com/inward/record.url?scp=77949797294&partnerID=8YFLogxK

U2 - 10.1109/I-SPAN.2009.126

DO - 10.1109/I-SPAN.2009.126

M3 - Conference contribution

AN - SCOPUS:77949797294

SN - 9780769539089

T3 - I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks

SP - 405

EP - 409

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

Y2 - 14 December 2009 through 16 December 2009

ER -