The classification based on cloud model always USES cloud transform and Pan-Concept-Tree, it brings on inconsistency between the result and prior knowledge.

基于云模型的分类算法多采用云变换和泛概念树方法，存在分类结果与先验知识不一致的问题。

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And we are discovering more and more that what we might anticipate from our knowledge of basic science does not always pan out when we study what happens to patients.

我们正越来越发现，我们期望从基础理论上所得到的与我们的临床研究结果并不常常是相吻合的。

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