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

Kuang-Yi Chou, C. Shih, H. Keh, Po-Yuan Yu, Yuan-Cheng Cheng, Nan-Ching Huang
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引用次数: 1

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.
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决策树在慢性疾病主动脉瘤患者分析中的临床应用
主动脉瘤是由主动脉壁硬化引起的。不良生活习惯及慢性病可引起主动脉壁硬化。因此,不良习惯和慢性疾病可能会影响主动脉瘤,甚至在手术后。在本研究中,我们采用数据挖掘的方法分析患者术前和术后的病史和实验室数据,以发现主动脉瘤与慢性疾病之间的关系。这样,我们就可以针对主动脉瘤患者慢性疾病的差异,让患者及早进行预防或治疗。进一步提高了主动脉瘤患者术后的康复效果。
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