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.