Title :
Diagnosis of kidney disease using fuzzy expert system
Author :
Ahmed, Shakil ; Tanzir Kabir, Md ; Tanzeem Mahmood, Navid ; Rahman, Rashedur M.
Author_Institution :
Dept. of Electr. & Comput. Eng., North South Univ., Dhaka, Bangladesh
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.
Keywords :
diseases; expert systems; fuzzy logic; medical diagnostic computing; patient care; patient diagnosis; Matlab software; blood sugar; diastolic blood pressure; fuzzy expert system; fuzzy logic toolbox; kidney disease diagnosis system; nephron functionality; patient kidney healthiness; systolic blood pressure; Blood pressure; Diseases; Expert systems; Fuzzy logic; Fuzzy sets; Input variables; Kidney; Fuzzy expert system; Fuzzy logic; Kidney diagnosis; Mamdani;
Conference_Titel :
Software, Knowledge, Information Management and Applications (SKIMA), 2014 8th International Conference on
DOI :
10.1109/SKIMA.2014.7083522
