Open AccessMachine Learning in liver disease diagnosis: Current progress and future opportunities
Author(s) -
Neha Tanwar,
Khandakar Faridar Rahman
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1022/1/012029
Subject(s) - computer science , artificial intelligence , domain (mathematical analysis) , big data , machine learning , deep learning , data science , data mining , mathematical analysis , mathematics
There has been a rapid growth in the use of automatic decision-making systems and tools in the medical domain. By using the concepts of big data, deep learning, and machine learning, these systems extract useful information from large medical datasets and help physicians in making accurate and timely decisions regarding predictions and diagnosis of diseases. In this regard, this study provides an extensive review of the progress of applying Artificial Intelligence in forecasting and detecting liver diseases and then summarizes related limitations of the studies followed by future research.