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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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一个完全可解释的机器学习模型,以提高尿查的有效性

Fabio Del Ben1, Giacomo Da Col2, Doriana Cobârzan2

  • 1CRO Aviano, National Cancer Institute, IRCCS, Aviano, Italy.

American journal of clinical pathology
|September 2, 2023
PubMed
概括

这项研究引入了一种透明的决策树模型,用于在培养之前选阴性尿样,从而减少实验室的工作量和成本. 这种可解释的方法增强了对临床微生物学环境的信任和实施.

关键词:
数据科学数据科学决策树是一个决策树.机器学习是机器学习.尿液分析 尿液分析

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