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Case Based Reasioning (CBR) for Medical Question Answering System

机译：基于案例的推理（CBR）的医学问答系统

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In this research, the researchers implement a medical Question Answering System (QAS), a complaint system in the form of sentences or paragraphs of questions about the complaint (illness) suffered by a person. Afterwards, the system will give answer to the questions with answers in the form of diagnosis based on the system knowledge. The system in this study has knowledge of the system obtained based on Case Based Reasoning (CBR) method from the previous cases stored in the database. When there is a new case, the system will perform a matching process using CBR and Sorenson Coefficient calculations to find out which the previous cases have the highest percentage of matches with the new case. Then the selected previous cases will be taken and given to the new case. Testing is processed by using 2 types of testing, expert validation testing with result of 28 data of appropriate test from 30 test data and accuracy testing resulting of 93,33% from the appropriate test data.
机译：在这项研究中，研究人员实施了一个医学问题解答系统（QAS），这是一种以句子或问题段落的形式提出的关于人遭受的投诉（疾病）的投诉系统。之后，系统将基于系统知识以诊断的形式给出带有答案的问题的答案。本研究中的系统具有从基于案例的推理（CBR）方法从数据库中存储的先前案例中获得的系统的知识。出现新案例时，系统将使用CBR和Sorenson系数计算执行匹配过程，以找出哪些先前案例与新案例的匹配百分比最高。然后，将采用选定的先前案例并将其分配给新案例。测试使用两种类型的测试进行处理：专家验证测试（从30个测试数据中获得28个合适测试的数据结果）和准确性测试（从相应测试数据中获得93.33％的结果）。

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