Using decision tree to analyze relation between aortic aneurysm and chronic diseases in clinical application

Huan Chao Keh, Chun Che Shih, Tian Chyuan Huang, Po Yuan Yu, Yuan Cheng Cheng, Nan Ching Huang

Research output: Contribution to journalArticle

Abstract

Aortic aneurysm is caused by sclerosis of aortic wall. However, bad habits and chronic disease would be caused sclerosis of aortic wall. Therefore, bad habits and chronic diseases would possible affect aortic aneurysm, even after surgery. In this study, we used data mining to analyzed patient's history and lab data from pre-operation and post-operation to find the affect between aortic aneurysm and chronic disease. Then, we could be aimed difference of aortic aneurysm patient's chronic disease to let the patient to prevent or treat status early. Furthermore, it increased aortic aneurysm patient the effect of recovery after operator.

Original languageEnglish
Pages (from-to)97-104
Number of pages8
JournalJournal of Applied Science and Engineering
Volume18
Issue number2
DOIs
Publication statusPublished - Jan 1 2015
Externally publishedYes

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Decision trees
Surgery
Data mining
Recovery

Keywords

  • Aortic Aneurysm
  • Chronic Diseases
  • Data Minin
  • Decision Tree

ASJC Scopus subject areas

  • Engineering(all)
  • General

Cite this

Using decision tree to analyze relation between aortic aneurysm and chronic diseases in clinical application. / Keh, Huan Chao; Shih, Chun Che; Huang, Tian Chyuan; Yu, Po Yuan; Cheng, Yuan Cheng; Huang, Nan Ching.

In: Journal of Applied Science and Engineering, Vol. 18, No. 2, 01.01.2015, p. 97-104.

Research output: Contribution to journalArticle

Keh, Huan Chao ; Shih, Chun Che ; Huang, Tian Chyuan ; Yu, Po Yuan ; Cheng, Yuan Cheng ; Huang, Nan Ching. / Using decision tree to analyze relation between aortic aneurysm and chronic diseases in clinical application. In: Journal of Applied Science and Engineering. 2015 ; Vol. 18, No. 2. pp. 97-104.
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