介绍数据挖掘相关技术,包括特征选择、离群值检测模型、聚类模型、关联规则模型、分类模型、集成学习算法等方面,对数据挖掘在临床恶性肿瘤诊断、预后及管理中的应用进行具体阐述。%The paper introduces technologies related to data mining , including the feature selection , outlier detection model , cluste-ring model, association rule model, classification model, ensemble learning algorithm, etc.It makes detailed explanation of the applica-tion of data mining in the diagnosis , prognosis and management of clinical malignant tumors .
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