• Pranathi Y
• Pooja N
• Rakshitha
• Prathibha V
• Dr.H.LALITHA

Currently there is one of the prevalent diseases of 21st century is liver disorders annually killing so many people round the worlds. A range of therapies have been provided by researcher to evaluate results. Early diagnosis is of considerable amount of significance in treating the disease. Diagnosis is of the physician skills conducting based on their knowledges and experience yet an error might occurrence is here. Using various Artificial Intelligence methods for liver disorders diagnosis has recently become wide spreading data. These intelligent helps systems help physicians as diagnosis assistants. Now, various Artificial Neural Network system, Expert Systems, Fuzzy Neural Network, Classification, This paper provides a review of different Artificial System and expert system method in diagnosis and detections of liver disease disorders acuteness is the key for results[1]. Different types of machine learning, Supervised, Unsupervised and Semi- Supervised, Reinforcement Learning for diagnosis of liver disease such as SVM, KNN, K-Mean clustering, neural network, Decision tree etc and give difference accuracy, precision, sensitivity[2]. This paper is to provide details about the liver issues, their causes and effects.

Liver Disease, Artificial Intelligence, risk, cause, diagnosis and treatment.

"Liver Cancer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 1, page no.b107-b111, January-2023, Available :http://www.jetir.org/papers/JETIR2301115.pdf

"Liver Cancer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 1, page no. ppb107-b111, January-2023, Available at : http://www.jetir.org/papers/JETIR2301115.pdf