Hierarchical diagnosis is an important method for reducing the complexity of model-Based diagnosis.
分层诊断是减少基于模型诊断计算复杂性的重要方法。
There has been recent interest in the application of machine learning techniques to neuroimaging-based diagnosis.
最近比较热门的研究室在神经影像诊断中引入计算机智能技术。
This paper analyzes characteristics of candidate diagnosis items, proposes the dynamic test strategy for model-based diagnosis.
本文通过分析基于模型诊断的候选诊断集的特点,提出了基于模型的动态测试策略。
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