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

2013 16TH INTERNATIONAL CONFERENCE ON NETWORK-BASED INFORMATION SYSTEMS (NBIS 2013)(2013)

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摘要
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.
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关键词
preoperation,chronic disease,diseases,bad habit,lab data,clinical application,aortic wall sclerosis,patient history,decision tree,analyze patient,data minin,chronic diseases,post-operation,aortic aneurysm,aortic aneurysm patient,data mining,aortic wall,medical computing,decision trees
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