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眼科计算机诊断中的贝叶斯定理。

Bayes' theorem in ophthalmologic computer diagnosis.

作者信息

Leveille A S, Fritz K J, Jay W M, Silverman S J

出版信息

J Pediatr Ophthalmol Strabismus. 1982 Mar-Apr;19(2):94-6. doi: 10.3928/0191-3913-19820301-07.

Abstract

Computers are being investigated as diagnostic aids in many fields of medicine. Models employing Bayes' theorem, a statistical formula, commonly are used to supply valuable information on the likelihood of each disease in the differential diagnosis to help the clinician make the diagnosis. However, knowledge of elementary decision analysis is beneficial to help understand the current and potential uses of these models. We discussed Bayes' theorem as an introduction to decision analysis. Moreover, we described a Bayesian model for the differential diagnosis of leukocoria to illustrate the application of computers to ophthalmologic diagnosis.

摘要

计算机正在作为医学许多领域的诊断辅助工具进行研究。采用贝叶斯定理(一种统计公式)的模型通常用于提供关于鉴别诊断中每种疾病可能性的有价值信息,以帮助临床医生进行诊断。然而,掌握基本的决策分析知识有助于理解这些模型的当前和潜在用途。我们讨论了贝叶斯定理作为决策分析的入门知识。此外,我们描述了一种用于白瞳症鉴别诊断的贝叶斯模型,以说明计算机在眼科诊断中的应用。

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