A squint, also known as strabismus, is a condition where the eyes are misaligned because of incorrect balance in the controlling eye muscles. This may result from muscular, neuromuscular or purely mechanical factors. An affected eye will have either predominating vertical or horizontal deviation. Vertical deviations are usually classified into eight classes (diagnoses) and horizontal into 10. The present work considers only the former but extension to the latter is straightforward.The differential diagnosis of strabismus is usually achieved in the prism cover test (PCT). A range of test prisms is presented to the eye and the resulting deviation in a particular direction of gaze is observed. In the full PCT, 10 positions of gaze are considered: in each position there are, say, 40 prisms of plus and minus power to investigate. The problem can be expressed as the inference 1-of-8 diagnoses in the output space from an input space of 10 parameters each with a resolution of 1-in-80. However, in the majority of clinical examinations, the corner-most positions of gaze are difficult to assess, particularly in children. Therefore, frequently the 6-position subset is reported requiring a corresponding reduction in the input space dimensions of 10 to 6. Web-StrabNet^© is an expert system for the differential diagnosis of strabismus based on parallel instances of multi-layer perceptrons trained on exemplar data generated in consensus by two clinical experts. This machine expert is programmed in MatLab™ and is freely available as an Internet website (www.strabnet.com) which uses MatSOAP^©, an XML/SOAP accessible automation server running a number of simultaneous MatLab instances.StrabNet achieves diagnostic accuracies of 100 and >94% with artificial data and typically ∼99 and ∼99% in clinical data-sets for the 10-position and 6-position subset PCT's, respectively.

中文翻译：

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Web-StrabNet：基于Web的垂直斜视鉴别诊断专家系统（斜视）

斜眼斜视，也称为斜视，是指由于控制眼部肌肉的平衡不正确而导致眼睛未对准的情况。这可能是由于肌肉，神经肌肉或纯机械因素引起的。受影响的眼睛将具有主要的垂直或水平偏差。垂直偏差通常分为八类（诊断），水平偏差通常分为十类。目前的工作仅考虑前者，而将后者扩展很简单。斜视的鉴别诊断通常在棱镜盖试验（PCT）中进行。眼睛会看到一系列测试棱镜，并观察到在特定注视方向上产生的偏差。在完整的PCT中，考虑了10个注视位置：每个位置有40个正负棱镜进行调查。问题可以表示为从10个参数的输入空间的输出空间中的8个中的1个诊断中，每个参数的分辨率为80分之一。但是，在大多数临床检查中，注视的最角落位置很难评估，尤其是在儿童中。因此，经常报告6位子集，要求将输入空间尺寸相应减少10到6。Web-StrabNet^©是用于斜视鉴别诊断的专家系统，该系统基于对多层感知器的并行实例进行的训练，这些实例是由两名临床专家以共识方式生成的示例数据进行训练的。该机器专家使用MatLab™进行编程，可以免费访问Internet网站（www.strabnet.com），该网站使用MatSOAP ^©，这是一个XML / SOAP可访问的自动化服务器，同时运行多个MatLab实例。StrabNet的诊断准确度达到100和> 94％的人造数据，在10位和6位PCT子集的临床数据集中通常分别约为99％和〜99％。