模糊专家系统在肾病诊断中的应用

The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014) Pub Date : 2014-12-01 DOI:10.1109/SKIMA.2014.7083522

Shakil Ahmed, Md Tanzir Kabir, Navid Tanzeem Mahmood, R. Rahman

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引用次数: 29

摘要

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。

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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Diagnosis of kidney disease using fuzzy expert system

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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The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)

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