临床数据仓库的开发

P. Chountas, V. Kodogiannis
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引用次数: 73

摘要

越来越多的人意识到仿生学和人工智能将在微生物分析中发挥重要作用。一个由气味产生机制、快速挥发性释放和回收系统以及基于神经网络和遗传算法的分类系统组成的智能数据仓库系统已被应用于微生物分析的一部分。微生物仓库环境也采用了多分类器融合的概念,专门针对特定的特征参数。实验结果验证了所提方法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a clinical data warehouse
There is increasing worldwide awareness that bionics and artificial intelligence will play an important role in microbial analysis. An intelligent data-warehouse system consisting of an odour generation mechanism, rapid volatile delivery and recovery system, and a classifier system based on neural networks and genetic algorithms have been applied as part of a microbial analysis. The microbiological warehouse environment has, also adopted the concept of fusion of multiple classifiers dedicated to specific feature parameters. The experimental results confirm the soundness of the presented methods.
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