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肺功能测试的计算机快速分析:使用最小均方相关性解释数据。

Computerized rapid analysis of pulmonary function test: use of a least mean squares correlation for interpretation of data.

作者信息

Krumpe P, Weigt G, Martinez N, Marcum R, Cummiskey J M

出版信息

Comput Biol Med. 1982;12(4):295-307. doi: 10.1016/0010-4825(82)90033-6.

Abstract

Although systems for automated calculation and interpretation of screening pulmonary function tests (PFT) have been discussed by previous investigators, these systems are often unavailable to other users, require large or hybrid computers, or are difficult to modify. The use of a branching decision tree for PFT interpretation may also limit the number of correlations possible and make revision of the program difficult because changes in the proximal branches of the tree require a rewriting of the entire distal program. We have developed a system based on a minicomputer which uses a least mean squares analysis for rapidly analyzing the patient's PFT data. This program considers the following types of PFT data singly and in combination: percentage predicted total lung capacity and/or alveolar volume, forced expiratory volume in one second to forced vital capacity ratio (before and after bronchodilator or 80% helium challenge), and percentage predicted single breath diffusing capacity for carbon monoxide. The interpretation program (IP) then selects the 'best interpretation' for the patient by computing the variance between the patient's data and data from a menu of over 120 interpretation statements. During the past two years we have used this system for screening over 3000 patients. In about 90% of patients the computer selected interpretation statements which were acceptable to a sub-specialty pulmonary physician. The use of this IP for screening purposes has facilitated the efficient use of laboratory personnel and equipment.

摘要

尽管先前的研究人员已经讨论过用于自动计算和解读肺功能筛查测试(PFT)的系统,但这些系统其他用户往往无法使用,需要大型计算机或混合计算机,或者难以修改。使用分支决策树来解读肺功能测试可能也会限制可能的关联数量,并使程序修改变得困难,因为树状结构近端分支的变化需要重写整个远端程序。我们开发了一种基于小型计算机的系统,该系统使用最小二乘法分析来快速分析患者的肺功能测试数据。该程序单独或综合考虑以下几种类型的肺功能测试数据:预计总肺容量和/或肺泡容积的百分比、一秒用力呼气容积与用力肺活量之比(支气管扩张剂使用前后或80%氦气激发后)以及预计单次呼吸一氧化碳弥散量的百分比。然后,解读程序(IP)通过计算患者数据与来自120多条解读语句菜单的数据之间的方差,为患者选择“最佳解读”。在过去两年中,我们使用这个系统对3000多名患者进行了筛查。在大约90%的患者中,计算机选择的解读语句得到了肺科专科医生的认可。将这个解读程序用于筛查目的有助于提高实验室人员和设备的使用效率。

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