
Prediction of Liver Disease using Machine Learning Algorithms
Author(s) -
Mukesh A. Zaveri,
Kamini Solanki
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i6876.079920
Subject(s) - machine learning , computer science , decision tree , artificial intelligence , field (mathematics) , naive bayes classifier , algorithm , data mining , support vector machine , mathematics , pure mathematics
There are different machine learning techniques widely used in medical field to diagnosis and to predict the liver disease. To endorse the analysis of high and multi dimensional data in health care industry we have reviewed various research papers in which we have focused on various Data mining methods for making use of data in regard to this we come out with, assessment for chosen research papers. Hence, the Objective of this study is to improve the diagnosis and Prediction of the liver disease with the machine learning algorithms. In our paper we suggested that hybrid of Decision Tree and Navie Bayes can give better result with good accuracy.