Liver Disease Prediction Using Machine Learning

Author(s)	S.Venkata Balaji, N.Aneel, N.Jagadeesh, M.Devendran
Country	India
Abstract	Due to the rapid rise in liver illness caused by excessive alcohol use, drug use, tainted food, and pickled food packaging, a doctor can make an automatic forecast with the aid of a medical expert system. Early liver disease prediction is now attainable because to the consistent advancements in machine learning technology, allowing for simple early identification of the fatal condition. This will make healthcare more beneficial, and a medical expert system can be employed in a remote location. The liver is vital to life and promotes the body's ability to rid itself of poisons. Early detection of the condition is therefore crucial for recovery. many machine learning techniques, including supervised, unsupervised, and supervised, Reinforcement SVM, KNN, K- Mean clustering, neural networks, decision trees, and other learning techniques for diagnosing liver disease and providing varying accuracy, precision, and sensitivity.
Keywords	Liver diagnosis,Machine learning, Expert System
Field	Engineering
Published In	Volume 5, Issue 3, May-June 2023
Published On	2023-05-10
Cite This	Liver Disease Prediction Using Machine Learning - S.Venkata Balaji, N.Aneel, N.Jagadeesh, M.Devendran - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.2955
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.2955
Short DOI	https://doi.org/gr77p2

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