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现代男科学医生的计算工具。

Computational tools for the modern andrologist.

作者信息

Niederberger C

机构信息

Department of Urology, University of Illinois at Chicago 60612, USA.

出版信息

J Androl. 1996 Sep-Oct;17(5):462-6.

PMID:8957688
Abstract

With such a wide array of computational tools to solve inference problems, andrologists and their mathematical or statistical collaborators face perhaps bewildering choices. It is tempting to criticize a method with which one is unfamiliar for its apparent complexity. Yet, many methods are quite elegant; neural computation uses nature's own best biological classifier, for example, and genetic algorithms apply rules of natural selection. Computer scientists will likely find no one single best inference engine to solve all classification problems. Rather, the modeler should choose the most appropriate computational tool based on the specific nature of a problem. If the problem can be separated into obvious components, a Markov chain may be useful. If the andrologist would like to encode a well-known clinical algorithm into the computer, the programmer may use an expert system. Once a modeler builds an inference engine, that engine is not truly useful until other andrologists use it to make inferences with their own data. Because a wide variety of computer hardware and software exists, it is a significant endeavor to translate, or "port," software designed and built on one machine to many other different computers. Fortunately, the World Wide Web offers a means by which computational tools may be made directly available to multiple users on many different systems, or "platforms." The World Wide Web refers to a standardization of information traffic on the global computer network, the Internet. The Internet is simply the linkage of many computers worldwide by computer operators who have chosen to allow other users access to their systems. Because many different types of computers exist, until recently only communication in very rudimentary form, such as text, or between select compatible machines, was available. Within the last half-decade, computer scientists and operators began to use standard means of communication between computers. Interpreters of these standard languages, such as Mosaic and Netscape, are now widely available, and they allow the casual user to access the most sophisticated multimedia aspects of computer information on a variety of different systems. Andrologists may thus use the World Wide Web to make inference engines that they have programmed available to other clinicians and researchers. For example, we programmed a World Wide Web interface to the neural networks that we trained in order to solve a number of andrology classification problems. Interested users connect to our address (at this writing http:@godot.urol.uic.edu), and they may fill out electronic forms with their own patient data, press a "predict" button, and nearly immediately view the results of our neural networks' prediction on their own computers. With the explosion in computer hardware technology, mathematics and computer science that once seemed esoteric can now be investigated on computers available to nearly all andrologists. Rapid advances in computer network technology now render a tool developed by one andrologist immediately available to many. Clearly, andrologists may expect that computational investigations in their field will be a productive ground in the near and far future.

摘要

面对如此众多用于解决推理问题的计算工具,男科学专家及其数学或统计学领域的合作者可能面临令人眼花缭乱的选择。人们很容易批评一种自己不熟悉的方法,因其表面上的复杂性。然而,许多方法其实相当精妙;例如,神经计算采用了自然界自身最好的生物分类器,而遗传算法应用了自然选择规则。计算机科学家可能找不到一个能解决所有分类问题的最佳推理引擎。相反,建模者应根据问题的具体性质选择最合适的计算工具。如果问题可以分解为明显的组成部分,马尔可夫链可能会有用。如果男科学专家希望将一个著名的临床算法编码到计算机中,程序员可以使用专家系统。一旦建模者构建了一个推理引擎,在其他男科学专家使用它依据自己的数据进行推理之前,这个引擎并不会真正发挥作用。由于存在各种各样的计算机硬件和软件,将在一台机器上设计和构建的软件“移植”到许多其他不同的计算机上是一项艰巨的任务。幸运的是,万维网提供了一种方式,通过它可以直接向许多不同系统(或“平台”)上的多个用户提供计算工具。万维网指的是全球计算机网络(互联网)上信息传输的标准化。互联网仅仅是全球众多计算机通过计算机操作员连接而成的网络,这些操作员选择允许其他用户访问他们的系统。由于存在许多不同类型的计算机,直到最近,只有非常基本形式的通信(如文本),或者在选定的兼容机器之间才能进行通信。在过去的五年里,计算机科学家和操作员开始使用计算机之间的标准通信方式。现在,诸如Mosaic和Netscape等这些标准语言的解释器已广泛可用,它们使普通用户能够在各种不同系统上访问计算机信息中最复杂的多媒体内容。因此,男科学专家可以利用万维网将他们编写的推理引擎提供给其他临床医生和研究人员。例如,我们编写了一个万维网界面,用于连接我们训练的神经网络,以解决一些男科学分类问题。感兴趣的用户连接到我们的网址(撰写本文时为http:@godot.urol.uic.edu),他们可以用自己的患者数据填写电子表格,按下“预测”按钮,几乎能立即在自己的计算机上查看我们神经网络预测的结果。随着计算机硬件技术的飞速发展,曾经看似高深莫测的数学和计算机科学现在几乎所有男科学专家都能在计算机上进行研究。计算机网络技术的快速进步使得一位男科学专家开发的工具能立即供许多人使用。显然,男科学专家可以预期,在不久的将来和遥远的未来,他们领域内的计算研究都将是一个富有成果的领域。

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