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研究八种机器学习算法,在医学分类任务中对不同特征数据集的适用性.

Yiyan Zhang1, Qin Li2, Yi Xin2

  • 1School of Intelligent Manufacturing, Qingdao Huanghai University, Qingdao, China.

Frontiers in computational neuroscience
|February 15, 2024
PubMed
概括

为医疗数据选择合适的数据挖掘算法至关重要. 本研究确定了关键数据特征,并评估了机器学习算法,以提供适用性规则,提高医疗数据分析效率.

关键词:
算法的适用性算法适用性数据挖掘是数据挖掘的一个方法.数据集的特征是定量化.决策树是一个决策树.医疗数据集是一个医疗数据集.

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