Diagnosis of Kidney Disease Using Fuzzy Expert System

被引:0
作者
Ahmed, Shakil [1 ]
Kabir, Md. Tanzir [1 ]
Mahmood, Navid Tanzeem [1 ]
Rahman, Rashedur M. [1 ]
机构
[1] North South Univ, Dept Elect & Comp Engn, Plot 15,Block B, Dhaka 1229, Bangladesh
来源
8TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT AND APPLICATIONS (SKIMA 2014) | 2014年
关键词
Fuzzy expert system; Mamdani; Kidney diagnosis; Fuzzy logic;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:8
相关论文
共 12 条
[1]   Diagnosis of Renal Failure Disease Using Adaptive Neuro-Fuzzy Inference System [J].
Akgundogdu, Abdurrahim ;
Kurt, Serkan ;
Kilic, Niyazi ;
Ucan, Osman N. ;
Akalin, Nilgun .
JOURNAL OF MEDICAL SYSTEMS, 2010, 34 (06) :1003-1009
[2]  
[Anonymous], P INT MULTICONFERENC
[3]  
Barro S., 2002, FUZZY LOGIC MED, V83, P310
[4]  
Ganesan N., 2010, International Journal of Computer Applications, V1, P76, DOI [10.5120/476-783, DOI 10.5120/476-783]
[5]  
Kartik B., 2011, J SCI TECHNOL, V1, P9
[6]   Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images [J].
Kuo, WJ ;
Chang, RF ;
Chen, DR ;
Lee, CC .
BREAST CANCER RESEARCH AND TREATMENT, 2001, 66 (01) :51-57
[7]  
Lavanya K., 2011, International Journal of Latest Trends in Computing, V2, P165
[8]  
Licata G., 2010, Health, V2, P211
[9]  
Rout S., 2014, FUZZY SYSTEMS, V4, P124
[10]  
Roventa Eugene, 2009, 2009 3rd International Workshop on Soft Computing Applications (SOFA 2009), P219, DOI 10.1109/SOFA.2009.5254849