Published Paper Details:

In recent years, liver disorders have been the most severe in the world. In this research, using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy C-Means (FCM) strategies, an automated intelligent diagnostic method has been introduced to suggest liver disease by different types and separate details of the disease. Before inspecting the clinical data, the more complicated Neuro-Fuzzy Model selected the data needed for the analysis. Identifying liver disease and recommending the exclusion of sensational forms is a very energetic step in ensuring the adeptness of the doctor. Data on patients who have been treated by doctors in different hospitals is obtained to make the work more concrete and empirical. Since the research involves the patient's comprehensive details, pre-processing has been completed. The strategies of Neuro-Fuzzy have been extended to patient data. The findings of this evaluation indicate that the Neuro-Fuzzy approach could be effectively used to advise liver cancer patients.