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首页> 外文期刊>Expert Systems with Application >RespiDiag: A Case-Based Reasoning System for the Diagnosis of Chronic Obstructive Pulmonary Disease
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RespiDiag: A Case-Based Reasoning System for the Diagnosis of Chronic Obstructive Pulmonary Disease

机译:RespiDiag:慢性阻塞性肺疾病的基于案例的推理系统

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摘要

In this paper a decision support system for the diagnosis of a very serious respiratory disease caused by tobacco named the chronic obstructive pulmonary disease is presented. The system is based on case-based reasoning principles and gathers the experience of experts of the pneumology department of Dor-ban Hospital (Annaba, Algeria). A critical issue about the case base is that some values of the features are missing in most cases. Five approaches for managing this problem of missing data are proposed. Three of them allow evaluating the similarity despite the missing information. The two other approaches fill the voids with plausible values using a statistical method and the principles of case-based reasoning itself.
机译:本文提出了一种决策支持系统,用于诊断由烟草引起的非常严重的呼吸系统疾病,即慢性阻塞性肺疾病。该系统基于案例推理原理,并收集了多尔班医院(阿尔及利亚安那巴)呼吸科的专家的经验。关于案例库的一个关键问题是在大多数情况下缺少某些功能值。提出了五种方法来解决数据丢失的问题。尽管缺少信息,但其中三个允许评估相似性。另两种方法是使用统计方法和基于案例的推理本身的原理,用合理的值填补空白。

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