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诊断概率的直接核评估
Kernel models are developed and applied to the problem of differential diagnosis via the diagnostic paradigm. They are shown to be both a useful method in their own right and when used in conjunction with logistic analysis.
诊断概率的直接核方法评估
SUMMARY Kernel models are developed and applied to the problem of differential diagnosis via the diagnostic paradigm. They are shown to be both a useful method in their own right and when used in conjunction with logistic analysis.
用于统计诊断的潜变量模型
A class of statistical models is derived for the problem of differential diagnosis between several types of disease. The performance of models for differential diagnosis between three and four types is assessed on clinical data.
用于统计诊断的潜变量模型
A class of statistical models is derived for the problem of differential diagnosis between several types of disease. The performance of models for differential diagnosis between three and four types is assessed on clinical data.