A Reliable Dengue Disease Detection Methodology using Fuzzy Logic

E. M. Reddy, K. Kumar, R. Rajkumar, L. N. Yoshita, M. P V
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引用次数: 1

Abstract

Dengue is a wide spread disease all around the world causing millions of deaths every year. It’s also called Break Bone Fever. It’s caused due to a virus called Dengue virus (DNEV) belonging to the family of Flavivirus. It is mainly caused due to the mosquito bite which belongs to Aegis family. In this work, a reliable and simpler solution for detecting the disease has been proposed. Previous works on disease prediction explains how the disease can be predicted using Fuzzy logic. Based on those works, a new logic system is designed to predict the Dengue as early as possible. The proposed system uses rules generated from physical test results collected from hospitals. At the end of this work it is shown how the system is efficiently capable of predicting the disease without using a practical clinical report.
一种可靠的模糊逻辑登革热检测方法
登革热是一种在世界各地广泛传播的疾病,每年造成数百万人死亡。它也被称为骨折热。它是由一种叫做登革热病毒(DNEV)的病毒引起的,这种病毒属于黄病毒科。它主要是由属于宙斯盾科的蚊子叮咬引起的。在这项工作中,提出了一种可靠而简单的疾病检测方法。以前在疾病预测方面的工作解释了如何使用模糊逻辑来预测疾病。在这些工作的基础上,设计了一个新的逻辑系统来尽早预测登革热。拟议的系统使用从医院收集的物理测试结果生成的规则。在这项工作的最后,它显示了该系统如何能够有效地预测疾病,而不使用实际的临床报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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