Classification of liver patient dataset using machine learning algorithms

Muthuselvan, S. (57203628671) and Rajaprakash, S. (56023839800) and Somasundaram, K. (57196055256) and Karthik, K. (59571129900) (2018) Classification of liver patient dataset using machine learning algorithms.

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Abstract

Prediction of the disease in the human being is the very long and difficult process in early days. Now a days, computer aided diagnosis is the important role in the medical industry for predicting, analyzing and storing medical information with the images. In this paper will discuss and classify the liver patients with the help of the liver patient dataset with the help of the machine learning algorithms. WEKA is the software used here for implement the some of the classification algorithms with the data selected from the liver disease dataset. After the successful implementation of the all the algorithms, the best algorithms selected from the output of the all the algorithms execution. © 2020 Elsevier B.V., All rights reserved.

Item Type: Article
Subjects:
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 11 Dec 2025 06:01
URI: https://vmuir.mosys.org/id/eprint/4686

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