Diagnosis of kidney disease using fuzzy expert system

Shakil Ahmed, Md Tanzir Kabir, Navid Tanzeem Mahmood, R. Rahman
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引用次数: 29

Abstract

The paper develops and presents a diagnosis system based on fuzzy logic to report the healthiness of a patient's kidney. The data we chose for our study is obtained from various diagnosis results of kidney patients of Birdem Hospital, Dhaka. For the fuzzy system, we use a total of seven input variables as follows: nephron functionality, blood sugar, systolic and diastolic blood pressure, age, weight, and alcohol intake. The result, i.e., the healthiness of kidney is measured in the range of 0 to 10. Our expert system is implemented in the fuzzy logic toolbox built in the Matlab software.
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模糊专家系统在肾病诊断中的应用
本文开发并提出了一种基于模糊逻辑的肾健康诊断系统。我们选择的研究数据来自于达卡Birdem医院肾病患者的各种诊断结果。对于模糊系统,我们总共使用以下七个输入变量:肾元功能、血糖、收缩压和舒张压、年龄、体重和酒精摄入量。结果,即肾脏的健康状况在0到10的范围内测量。我们的专家系统是在Matlab软件中的模糊逻辑工具箱中实现的。
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