Diagnostic research in benign prostatic hyperplasia--from sensitivity to neural networks.
Diagnostic research in benign prostatic hyperplasia--from sensitivity to neural networks.
复制标题
良性前列腺增生的诊断研究——从神经网络的敏感性。
DOI：
10.1097/00042307-199901000-00006
复制
发表时间：
1999
影响因子：
2.5
通讯作者：
L. Kiemeney
中科院分区：
文献类型：
--
作者：
G. Sonke;L. Kiemeney
下尿路症状患者的诊断是复杂的。已经开发了几种测试，但这些测试中的每一个在诊断过程中的重要性还没有得到很好的理解。本文描述了用于评估诊断测试的方法，从传统的灵敏度和特异性到更复杂的技术，如逻辑回归和神经网络。
Establishing the diagnosis in patients with lower urinary tract symptoms is complicated. Several tests have been developed, but the importance of each of these tests in the diagnostic process is not well understood. This paper describes the methods used to evaluate diagnostic tests, ranging from traditional sensitivity and specificity to more sophisticated techniques such as logistic regression and neural networks.