• Samiksha H. Zaveri
• Dr. Kamini Solanki

To diagnose and forecast liver disease, a variety of machine learning algorithms are widely employed in the medical industry. We analysed several research publications in which we focused on various Data mining approaches for making use of data to support the study of high and multi-dimensional data in the health-care industry. In this regard, we have publications that are relevant to this topic in terms of methodology, algorithms, and outcomes. For selected publications, results and assessment techniques are examined, and a detailed summary of the findings is offered at the end. As a result, the purpose of this research is to use machine learning algorithms to improve the diagnosis and prediction of liver illness.

Liver Disease, Machine Learning Algorithms: Decision Tree, Navie Bayies.

"A Review on Liver Disease Prediction Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.g213-g218, May-2022, Available :http://www.jetir.org/papers/JETIR2205723.pdf

"A Review on Liver Disease Prediction Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppg213-g218, May-2022, Available at : http://www.jetir.org/papers/JETIR2205723.pdf