NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time
NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time
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DOI：
10.1016/s0933-3657(02)00027-1
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发表时间：
2002-07-01
影响因子：
7.5
通讯作者：
Mira, J
中科院分区：
文献类型：
--
作者：
Gal치n, SF;Aguado, F;Mira, J
癌症的扩散是一个不确定的动态过程。因此，癌症程度的诊断和预后辅助系统的设计应基于处理不确定性和时间的表示方法。最终目标是在选择合适的治疗方法之前了解患者癌症的发展阶段。离散时间概率事件网络（NPEDT）是一种用于时间推理的贝叶斯网络，它模拟了与过程时间演化相关的因果机制。本文介绍了应用NPEDTs进行鼻咽癌诊断和预后的系统NasoNet。我们利用时间噪声门来模拟在域中发生的动态因果相互作用。我们所描述的方法是通用的，足以适用于任何其他类型的癌症。(C) 2002 Elsevier Science B.V.版权所有
The spread of cancer is a non-deterministic dynamic process. As a consequence, the design of an assistant system for the diagnosis and prognosis of the extent of a cancer should be based on a representation method that deals with both uncertainty and time. The ultimate goal is to know the stage of development of a cancer in a patient before selecting the appropriate treatment. A network of probabilistic events in discrete time (NPEDT) is a type of Bayesian network for temporal reasoning that models the causal mechanisms associated with the time evolution of a process. This paper describes NasoNet, a system that applies NPEDTs to the diagnosis and prognosis of nasopharyngeal cancer. We have made use of temporal noisy gates to model the dynamic causal interactions that take place in the domain. The methodology we describe is general enough to be applied to any other type of cancer. (C) 2002 Elsevier Science B.V. All rights reserved.