Likothanassis S D, Adamidis P, Giogios C
University of Patras, Department of Computer Engineering and Informatics, Greece.
Med Inform (Lond). 1995 Oct-Dec;20(4):349-57. doi: 10.3109/14639239509024288.
A prototype Expert System, able to assist gynaecologists in diagnosing and classifying cancer of the neck of the womb is designed and implemented. The system is implemented using NeuroShell, an Expert System Building Tool, based on Neural Networks. A neural model, which predicts the possible outcomes of colposcopy and biopsy, based on Pap test results, as well as on information from the patient record, is developed. Such a system is a very useful tool for physicians both as a training tool as well as a forecasting system, while it also has the capability of incorporating new knowledge, provided by each new case it is presented with. Furthermore, a number of different implementations are provided in order to evaluate a comparative study of their performance.
设计并实现了一个原型专家系统，该系统能够协助妇科医生对子宫颈癌进行诊断和分类。该系统使用基于神经网络的专家系统构建工具NeuroShell来实现。开发了一种神经模型，该模型基于巴氏试验结果以及患者记录中的信息来预测阴道镜检查和活检的可能结果。这样的系统对医生来说是一个非常有用的工具，既可以作为培训工具，也可以作为预测系统，同时它还能够纳入它所处理的每个新病例提供的新知识。此外，还提供了许多不同的实现方式，以便对它们的性能进行比较研究评估。
