Advancements in Fuzzy Logic Applications for Diagnostic Decision Support Systems in Healthcare

Due to its intrinsic complexity, medical diagnosis presents a challenge to typical computational methods due to its wide range of variables, uncertainties, and imprecise information. In order to arrive at an accurate diagnosis in this dynamic sector, medical practitioners must synthesise a multitude of data, from lab results and imaging reports to patient history and symptoms. Nonetheless, clinical decision-making frequently entails the use of vague or insufficient facts, which adds a subjective aspect and increases the possibility of error. Fuzzy logic-based decision support systems (DSS) have become an effective tool for addressing these issues, as they improve diagnostic accuracy while also facilitating the provision of personalised treatment.