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DIGITAL SOLUTIONS FOR DIFFERENTIATING ASTHMA FROM COPD

机译:从COPD区分哮喘的数字解决方案

摘要

The present disclosure relates generally to systems and processes for assessing and differentiating asthma and chronic obstructive pulmonary disease (COPD) in a patient, and more specifically to computer-based systems and processes for providing a predicted diagnosis of asthma and/or COPD. In accordance with one or more examples, a computing system receives a set of patient data corresponding to a first patient and determines whether the set of patient data satisfies a set of one or more data-correlation criteria. If the set of one or more data-correlation criteria are satisfied, the computing system applies a first diagnostic model to the set of patient data and determines a first predicted diagnosis of asthma and/or COPD. If the set of one or more data-correlation criteria are not satisfied, the computing system applies a second diagnostic model to the set of patient data and determines a second predicted diagnosis of asthma and/or COPD.
机译:本公开一般涉及用于评估和分化患者中的哮喘和慢性阻塞性肺病(COPD)的系统和方法,更具体地涉及基于计算机的系统和方法,用于提供预测的哮喘和/或COPD的预测诊断。 根据一个或多个示例,计算系统接收与第一患者对应的一组患者数据,并确定一组患者数据是否满足一组一个或多个数据相关标准。 如果满足该组或多个数据相关标准,则计算系统将第一诊断模型应用于患者数据集并确定哮喘和/或COPD的第一预测诊断。 如果不满足一个或多个数据相关标准的集合,则计算系统将第二诊断模型应用于患者数据集并确定哮喘和/或COPD的第二预测诊断。

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