International Journal Of Engineering Technology And Management Sciences

AUTHOR(S)

Mr. Shibam Ch. Karmakar, Mr. Subham Pratihar, Ms. Shreeja Roy, Mrs. Sulekha Das, Dr. Avijit Chaudhuri

DOI: https://doi.org/10.46647/ijetms.2023.v07i02.031

ABSTRACT
The liver is the largest internal organ of the human body. It is responsible for conversion of food intake into useful nutrients and also helps to store them. It is responsible for conversion of toxic molecules into harmless particles. But recent studies report significant deaths due to liver diseases. It is mainly due to unhealthy diet habits and unhealthy routine of people. In the race of doing work people are ignoring their health resulting in abnormal health and affecting the liver significantly. Therefore prediction of liver disease with high accuracy and speed is an important concern. The liver tissues undergo deformation or abnormalities comparatively slower than other body tissues, so detection becomes more difficult. In recent decades, the use of automatic decision making systems and tools has found a significant role in the medical field. As the medical field deals with human life, by using the knowledge of machine learning, deep learning, artificial intelligence, and big data we can help in rapid and appropriate treatment and cure. This will help physicians in making the correct decision at the right moment and appropriate procedure. In this regard, this study provides an extensive review of the progress of applying Artificial Intelligence in forecasting and detection liver diseases and then summarizes related limitations of the studies followed by future research.

Page No: 271 - 276

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How to Cite This Article:
Mr. Shibam Ch. Karmakar, Mr. Subham Pratihar, Ms. Shreeja Roy, Mrs. Sulekha Das, Dr. Avijit Chaudhuri . Early Detection of Liver Disease by using Machine Learning . ijetms;7(2):271-276. DOI: 10.46647/ijetms.2023.v07i02.031