REVIEW ON BIG DATA ANALYTICS ABOUT LIVER IN HEALTH CARE
Abstract
The liver disease is the most dangerous disease in the world. The objective of this paper is to identify the liver disease according to its symptoms and significant tests. The fatty liver disease is the world’s dangerous chronic liver disease. Big Data is a huge arrangement of information and anyway growing exponentially with time. The best method for applying medical datasets is machine learning algorithms and it is appropriate for analysing medical data.Theclassification and predictive tools for diagnosing the fatty liver disease is SVM, KNN, Random Forest and Naïve Bayes of ML algorithm. The prediction accuracy of the fatty liver disease is diagnosed by the above algorithms. This proposed methodology combines all the algorithms to identify the chronic liver disease.
Keyword : AFLD, NAFLD, NASH, ML algorithms, SVM, Naive Bayes, K-nearest, Random Forest classifier, Big Data
This work is licensed under a Creative Commons Attribution 4.0 International License.
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