Viktor H L, Cloete I, Beyers N
Department of Informatics, University of Pretoria, South Africa.
Methods Inf Med. 1997 Feb;36(2):160-2.
The treatment of tuberculosis (TB) is a major challenge throughout the world. The Western Cape Region of South Africa has the highest occurrence of TB in the world. Here, TB is increasing due to improperly managed treatment programmes and inadequate facilities. The development of rules to aid medical practitioners in the early and accurate diagnosis of tuberculosis should prove worthwhile. A method to extract such diagnostic rules from an artificial neural network is presented. These rules accurately represent the knowledge embedded in the "raw" TB data.
结核病的治疗是全球面临的一项重大挑战。南非西开普地区是世界上结核病发病率最高的地区。在此，由于治疗方案管理不当和设施不足，结核病发病率正在上升。制定有助于医生早期准确诊断结核病的规则应是值得的。本文提出了一种从人工神经网络中提取此类诊断规则的方法。这些规则准确地体现了“原始”结核病数据中蕴含的知识。
