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Abstract

Liver diseases occur when there is any kind of disturbance in the functioning of liver and it becomes the primary source of illness. There are several signs of liver illness such as itchy skin, dark urine colour, vomiting, abdominal pain etc. mostly patients come to know about the liver disorders in the later stages, when it is difficult to give treatment to the patients. It is required to detect the liver disorders in the early stages. This problem mostly arises in the developing areas where patients do not get much medical expertise, as the no. of doctors in not so much high in these areas. So, it would be very much beneficial if medical diagnostic expert systems would be used specially in developing area. With the help of these systems, a person can have idea about the diseases in the early stages. He or she does not need to visit hospitals. They can make use of it by sitting at home. This is the system in which knowledge about the diseases is deployed inside it. User has to input his symptoms and system will suggest the disease that the user has. These systems will give almost the same advice as given by the physician. Further there are many techniques which are applied in these medical diagnostic systems. These techniques are machine learning, deep learning, soft computing etc. Many researchers have already worked on it. They have diagnosed liver diseases using expert systems. In this paper, the work done by authors in the field of expert systems for liver diseases is summarized briefly.

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