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      Effective of Smart Mathematical Model by Machine Learning Classifier on Big Data in Healthcare Fast Response

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          Abstract

          In the past few years, big data related to healthcare has become more important, due to the abundance of data, the increasing cost of healthcare, and the privacy of healthcare. Create, analyze, and process large and complex data that cannot be processed by traditional methods. The proposed method is based on classifying data into several classes using the data weight derived from the features extracted from the big data. Three important criteria were used to evaluate the study as well as to benchmark the current study with previous studies using a standard dataset.

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          Most cited references31

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          Big data in healthcare: management, analysis and future prospects

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            A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective

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              Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review

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                Author and article information

                Contributors
                Journal
                Comput Math Methods Med
                Comput Math Methods Med
                cmmm
                Computational and Mathematical Methods in Medicine
                Hindawi
                1748-670X
                1748-6718
                2022
                23 February 2022
                : 2022
                : 6927170
                Affiliations
                1School of Information Technology, Skyline University College, University City Sharjah, 1797 Sharjah, UAE
                2College of Computer Science and Engineering, University of Jeddah, Saudi Arabia
                3Department of Cybersecurity, Amman Arab University, Amman 11953, Jordan
                Author notes

                Academic Editor: Deepika Koundal

                Author information
                https://orcid.org/0000-0003-1698-0237
                https://orcid.org/0000-0003-4888-6253
                Article
                10.1155/2022/6927170
                8890881
                d7af46d0-560c-4fdb-97aa-91c6d77e3b31
                Copyright © 2022 Mahmoud Ahmad Al-Khasawneh et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 December 2021
                : 2 February 2022
                : 7 February 2022
                Categories
                Research Article

                Applied mathematics
                Applied mathematics

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