Using Decision Tree to Analyze Patient of Aortic Aneurysm with Chronic Diseases in Clinical Application

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...

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Bibliographic Details
Published in2013 16th International Conference on Network-Based Information Systems pp. 405 - 409
Main Authors Kuang-Yi Chou, Chun-Che Shih, Huan-Chao Keh, Po-Yuan Yu, Yuan-Cheng Cheng, Nan-Ching Huang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2013
Subjects
Algorithm design and analysis
Aneurysm
aortic aneurysm
chronic diseases
Cities and towns
data minin
Data mining
Decision tree
Diseases
Educational institutions
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Summary: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.
ISSN:2157-0418
2157-0426
DOI:10.1109/NBiS.2013.65