Leaning M S, Ng K E, Cramp D G
Department of Statistical Science, University College London, UK.
Med Inform (Lond). 1992 Jan-Mar;17(1):35-46. doi: 10.3109/14639239209012134.
In this paper a novel approach to the development of the architecture of a knowledge-based decision support system for the management of patients with cancer of the breast is described. Its initial design and subsequent realization in a prototype version was facilitated by examining closely the overall clinical task and identifying its associated activities and related knowledge. Implementation in KEE highlights the value of rigorous conceptual modelling that leads to a design able to assess treatment response and disease progression as well as providing specific therapy advice. The approach is general and may be applied to the development of decision support systems for other areas of cancer and medicine.
本文描述了一种开发基于知识的乳腺癌患者管理决策支持系统架构的新方法。通过仔细研究整体临床任务并确定其相关活动和相关知识，促进了该系统的初步设计及其在原型版本中的后续实现。在KEE中的实现突出了严格概念建模的价值，该建模导致的设计能够评估治疗反应和疾病进展，并提供具体的治疗建议。该方法具有通用性，可应用于开发其他癌症和医学领域的决策支持系统。
