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

Kuang Yi Chou, Chun Che Shih, Huan Chao Keh, Po Yuan Yu, Yuan Cheng Cheng, Nan Ching Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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
Title of host publicationProceedings - 16th International Conference on Network-Based Information Systems, NBiS 2013
PublisherIEEE Computer Society
Pages405-409
Number of pages5
ISBN (Print)9780769550527
DOIs
Publication statusPublished - Jan 1 2013
Externally publishedYes
Event16th International Conference on Network-Based Information Systems, NBiS 2013 - Gwangju, Korea, Republic of
Duration: Sep 4 2013Sep 6 2013

Publication series

NameProceedings - 16th International Conference on Network-Based Information Systems, NBiS 2013

Conference

Conference16th International Conference on Network-Based Information Systems, NBiS 2013
CountryKorea, Republic of
CityGwangju
Period9/4/139/6/13

Keywords

  • Aortic aneurysm
  • Chronic diseases
  • Data minin
  • Decision tree

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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