A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48

A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48

In this study, the possibility of using and applying the capabilities of artificial intelligence (AI) and machine learning (ML) to increase the effectiveness of Internet of Things (IoT) and big data in developing a system that supports decision makers in the medical fields was studied. This was done...

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Bibliographic Details
Main Author: Al-Manaseer, Hitham (author)
Other Authors: Abualigah, Laith (author), Alsoud, Anas Ratib (author), Abu Zitar, Raed (author), Ezugwu, Absalom E. (author), Jia, Heming (author)
Published: 2022
Subjects:
Big data
Internet of Things
Random forest classifier
J48
Support vector machine
Weka
E-Health
Online Access:https://depot.sorbonne.ae/handle/20.500.12458/1325
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https://depot.sorbonne.ae/handle/20.500.12458/1325

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