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Early diagnosis of dengue disease using fuzzy inference system

机译：模糊推理系统早期诊断登革热病

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摘要

Fuzzy expert system is a knowledge-based system, which is considered as one of the most common form of artificial intelligence in medicine(AIM) system with medical knowledge of a particularly defined task, and able to reach a proper conclusion by using the specific data from individual patient. In fuzzy inference system, a set of rules are used for representing the knowledge or data of a particular problem. Dengue fever, caused by the dengue virus, a mosquito-borne human viral pathogen is an infectious tropical disease. In a small proportion of cases Dengue disease is considered as one of the life threatening disease and delay of the diagnosis may lead to increase the risk level of the disease. Therefore, it is very important to detect the dengue disease at early stage. Thus this work was aimed to design an expert system for the early diagnosis of dengue disease using Fuzzy Inference System (FIS), a powerful tool for dealing with imprecision and uncertainty. The designed FIS can be used for early diagnosis of dengue disease of a patient by using his/her physical symptoms and medical test reports as input variables and converting these input variables into fuzzy membership functions.
机译：模糊专家系统是一种基于知识的系统，被认为是医学（AIM）系统中最常见的人工智能形式之一，具有特别定义的任务的医学知识，并且能够通过使用特定数据来达到正确的结论来自个体患者。在模糊推理系统中，一组规则用于表示特定问题的知识或数据。登革热，由登革热病毒引起的，蚊子的人类病病原体是一种传染性的热带病。在一小部分案件中，登革热病被认为是危及生命疾病之一，延迟诊断可能导致疾病的风险水平增加。因此，在早期检测登革热病是非常重要的。因此，这项工作旨在使用模糊推理系统（FIS）设计一种用于早期诊断登革热病的专家系统，这是一种处理不精确和不确定性的强大工具。设计的FIS可用于通过使用他/她的物理症状和医学测试报告作为输入变量并将这些输入变量转换为模糊的成员函数的患者登革热病的早期诊断。

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