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[青光眼检查数据的统计分析]

[Statistical analysis of data from glaucoma examinations].

作者信息

Abakumova L Ia, Nesterov A P, Mitkokh D I, Sushkova O P

出版信息

Med Tekh. 1979 Nov-Dec(6):16-20.

PMID:514014
Abstract

Early detection of glaucoma can be achieved through prophylactic screening of population. This leads to a sharp increase in the patients' flow and deprives the physician of a possibility to examine them by routine methods. Such examinations will be feasible if to reduce the procedure time by automation, or to cut the examination program after the analysis of the existing medical programs by mathematical methods. The authors have used the method of linear discriminant functions which permits one on the basis of the medical data statistical analysis to learn the informativeness of diagnostic symptoms and decisive rules to form risk-groups of the patients who need more thorough medical examination. The analysis accomplished has indicated that there is no closely interlaced symptoms. Among most informative there are signs considerably differing in their statistical characteristics. The diagnostic rules proposed in this article provide adequately high accuracy in selection of healthy people groups and, as well, the patients with suspected glaucoma or suffering this disease.

摘要

通过对人群进行预防性筛查可实现青光眼的早期检测。这导致患者流量急剧增加,使医生无法用常规方法对他们进行检查。如果通过自动化减少检查程序时间,或者在通过数学方法分析现有医疗程序后缩减检查项目,这样的检查将是可行的。作者使用了线性判别函数方法,该方法允许基于医学数据的统计分析来了解诊断症状的信息性以及形成需要更全面医学检查的患者风险组的决定性规则。完成的分析表明不存在紧密交织的症状。在最具信息性的症状中,有一些在统计特征上有很大差异。本文提出的诊断规则在选择健康人群以及疑似青光眼患者或患青光眼患者方面具有足够高的准确性。

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