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  4. Application of data mining on the development of a disease distribution map of screened community residents of Taipei County in Taiwan
 
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Application of data mining on the development of a disease distribution map of screened community residents of Taipei County in Taiwan

Resource
Journal of Medical Systems
Journal
Journal of Medical Systems
Journal Volume
36
Journal Issue
3
Pages
2021-2027
Date Issued
2012
Author(s)
Ching-Kuo Wei
MING-CHIN YANG  
Syi Su
Ming-Chin Yang  
DOI
10.1007/s10916-011-9664-7
URI
http://www.scopus.com/inward/record.url?eid=2-s2.0-84864027615&partnerID=MN8TOARS
http://scholars.lib.ntu.edu.tw/handle/123456789/373329
Abstract
This study used data mining techniques to investigate disease forms in various administrative areas and to analyze the differences among various administrative areas in order to further draw up a disease distribution map. It is hoped that may help formulate future public health strategies and to allocate medical resources more appropriately. The major disease forms for residents under the age of 60 were hypertension, hyperglycemia and hyperlipidemia. In regard to the neighboring areas, three neighboring areas, A1, A3, and B9, shared the same disease problems with A4, A5, and B3, while two mountain-area cities, B7 and C10, experienced higher instances of liver function impairment. In terms of the clustering phenomenon among municipally graded administrative areas, the major health problems in Grade A cities were hypertension, hyperglycemia, and hyperlipidemia. The health problems such as liver function impairment and renal dysfunction were more frequently observed in Grade B and Grade C cities. ? Springer Science+Business Media, LLC 2011.
Subjects
Cluster analysis; Data mining; Disease distribution map; Public health
SDGs

[SDGs]SDG3

Other Subjects
adult; aged; article; cluster analysis; community living; controlled study; data mining; female; geographic distribution; government; health care planning; human; hyperglycemia; hyperlipidemia; hypertension; kidney dysfunction; liver function; major clinical study; male; public health problem; resource allocation; screening; Taiwan; Adult; Aged; Cluster Analysis; Data Mining; Epidemiologic Methods; Female; Humans; Hypercholesterolemia; Hyperlipidemias; Liver Diseases; Male; Mass Screening; Middle Aged; Population Surveillance; Program Development; Renal Insufficiency; Taiwan
Type
journal article
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