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Computer-aided causal diagnosis of ascites. Analysis of a prototype

机译:腹水的计算机辅助因果诊断。原型分析

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No computer program based on ES techniques is capable of replacing the expert physician in an absolutely guaranteed way. Four main problems are present when trying to process a human reasoning task: The knowledge representation; The analysis of the represented knowledge; To make explicit the way which the represented knowledge will be processed in; The capacity of the computer system to evolve when new situations (such as new knowledge or new reasoning ways) are found. New trends in the field of computerized diagnosis covering the above considerations are being developed. Inductive learning constitutes, perhaps, the most considered technique, providing an adequate way to represent, analyze and process specific knowledge about some concepts in order to find general descriptions of them. Moreover, a learning system is characterized by its evolutionary behaviour when new situations appear. A computer system based on new inductive learning techniques has been developed by the authors from the Computer Science Department of the Balearic Islands University, which has been applied as a prototype to the causal diagnosis of ascites. In the same way, information about this diseases has been provided by the authors from the Department of Gastroenterologia of the 'Son Dureta' Hospital.
机译:没有任何基于ES技术的计算机程序能够以绝对保证的方式替代专家医生。尝试执行人类推理任务时存在四个主要问题:知识表示;分析所代表的知识;明确表示所处理知识的处理方式;发现新情况(例如新知识或新推理方式)时,计算机系统的演化能力。涵盖以上考虑因素的计算机诊断领域的新趋势正在发展。归纳学习可能是最被考虑的技术,它提供了一种表示,分析和处理有关某些概念的特定知识的适当方法,以便找到它们的一般描述。此外,当出现新情况时,学习系统的特征是其进化行为。来自巴利阿里群岛大学计算机科学系的作者开发了一种基于新的归纳学习技术的计算机系统,该系统已作为原型用于腹水的因果诊断。同样,“ Son Dureta”医院胃肠病科的作者也提供了有关这种疾病的信息。

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