DocumentCode
654802
Title
Using Decision Tree to Analyze Patient of Aortic Aneurysm with Chronic Diseases in Clinical Application
Author
Kuang-Yi Chou ; Chun-Che Shih ; Huan-Chao Keh ; Po-Yuan Yu ; Yuan-Cheng Cheng ; Nan-Ching Huang
Author_Institution
Center of Gen. Educ., Nat. Taipei Univ. of Nursing & Health Sci., Taipei, Taiwan
fYear
2013
fDate
4-6 Sept. 2013
Firstpage
405
Lastpage
409
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.
Keywords
data mining; decision trees; diseases; medical computing; aortic aneurysm; aortic wall sclerosis; chronic disease; clinical application; data mining; decision tree; lab data; patient history; post-operation; preoperation; Algorithm design and analysis; Aneurysm; Cities and towns; Data mining; Diseases; Educational institutions; Decision tree; aortic aneurysm; chronic diseases; data minin;
fLanguage
English
Publisher
ieee
Conference_Titel
Network-Based Information Systems (NBiS), 2013 16th International Conference on
Conference_Location
Gwangju
Print_ISBN
978-1-4799-2509-4
Type
conf
DOI
10.1109/NBiS.2013.65
Filename
6685433
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