Document Type : Primary Research paper
Assistant Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, India-522502
Associate Professor, Department of CSE, Raghu Engineering college, Dakamarri, Vijayanagaram
Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, India-522502
In the present scenario of 21st century, the prevailing syndromes is liver ailments which resulted in assassination of huge number of people in the world. In order to estimate the consequences a wide collection of analyses have been delivered by various researchers. It is observed that diagnosis at early stages is substantially significant in handling the ailment. Based on the knowledge, experience, and skills developed at the level of physicians treating with the diagnosis, the error potency existence is at this period. By means of numerous Artificial Intelligence (AI) approaches for disorders in liver can be analyzed has currently developed extensive data distribution. Such AI process assistances schemes support physicians as diagnosis supporters. Currently, several Fuzzy Neural Network, Artificial Neural Network system, Expert Systems, Classification, Regression treaties with such kind of diagnosis. The article presents an analysis for various Artificial Method including the expert system method to detect and identify the sensitivity of liver disease disorders to achieve the outcome for future assessment. The most important techniques used for such diagnoses are Fuzzy Logic, and Swarm Intelligence.