Fuzzy Logic-based Systems for Medical Diagnosis – A Review
Nisha Gupta, Harjeet Singh, Jimmy Singla
Abstract
Fuzzy logic is widely used in the area of healthcare systems. It is an approach that can deal with inconsistent information. This review paper describes the fuzzy logic-based systems for the diagnosis of various diseases. These systems are beneficial in developing areas where doctor to patient ratio is small. These systems can further act as specialist’s supporting tools. It can help the doctor in the diagnosis and making decisions. This review article also focuses on various fuzzy models that are being used in healthcare systems for making decisions. It reviews the role of fuzzy systems in the diagnosis of various diseases, for instance, Alzheimer’s disease, Chronic kidney disease, Cholera disease, Hepatitis B, Coronary artery disease, Diabetes, Asthma, COVID-19, Stroke disease, Renal cancer and heart disease. This article also shows the results obtained by different researchers in making a diagnosis of various diseases.