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Distinction between healthy individuals and patients with confident abnormal respiration

机译:健康个体与确信呼吸异常的患者之间的区别

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摘要

To adequately distinguish between healthy individuals and patients with respiratory disorders, we propose a new classification method combining two conventional methods. The first method entails determining the presence of a "confident abnormal respiration" period (used to describe individuals for whom the likelihood of an abnormal respiratory candidate was much higher than for that of a normal candidate, and for which patients could be determined with high accuracy). The second method entails comparing the two total likelihoods (through a series of inspiration and expiration periods) of normal and abnormal candidates of each respiratory period in a test sample. In our new method, if one or more confident abnormal respiration phases are detected in a test respiration sample, the first method is used; otherwise, the second method is used for the classification. Our proposed method achieved significantly higher performance (88.6%) at the 5% level (p=0.027) than does each conventional classification method alone (80.6% and 84.9%). This validates our newly proposed classification method.
机译:为了充分区分健康个体和呼吸系统疾病患者,我们提出了一种将两种常规方法结合在一起的新分类方法。第一种方法需要确定“肯定的异常呼吸”时间段的存在(用于描述那些异常呼吸候选者的可能性比正常候选者高得多的个体,并且可以以高准确度确定患者的个体)。第二种方法需要比较测试样本中每个呼吸周期的正常和异常候选者的两个总似然性(通过一系列吸气和呼气期)。在我们的新方法中,如果在测试呼吸样本中检测到一个或多个确定的异常呼吸阶段,则使用第一种方法;否则,使用第一种方法。否则,使用第二种方法进行分类。我们提出的方法在5%的水平(p = 0.027)上实现了显着更高的性能(88.6%),而单独的每个常规分类方法的性能分别为80.6%和84.9%。这验证了我们新提出的分类方法。

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