The Role of Machine Learning in Managing and Organizing Healthcare Records

Authors

  • Ahmed Mohammed Alghamdi Department of Software Engineering, College of Computer Science and Engineering, University of Jeddah, Saudi Arabia
  • Mahmoud Ahmad Al-Khasawneh School of Computing, Skyline University College, University City Sharjah, 1797, Sharjah, UAE | Applied Science Research Center. Applied Science Private University, Amman, Jordan
  • Ala Alarood College of Computer Science and Engineering, University of Jeddah, Saudi Arabia
  • Eesa Alsolami College of Computer Science and Engineering, University of Jeddah, Saudi Arabia
Volume: 14 | Issue: 2 | Pages: 13695-13701 | April 2024 | https://doi.org/10.48084/etasr.7027

Abstract

With the exponential growth of medical data, Machine Learning (ML) algorithms are becoming increasingly important to the management and organization of healthcare information. This study aims to explore the role that ML can play in optimizing the management and organization of healthcare records, by identifying the challenges, advantages, and limitations associated with this technology. Consequently, the current study will contribute to the understanding of how ML might be applied to the healthcare industry in a variety of circumstances. Using the findings of this study, healthcare professionals, researchers, and policymakers will be able to make informed decisions regarding the adoption and implementation of ML techniques for regulating healthcare records. The findings of this paper revealed that ML can play an important role in efficiently directing and classifying healthcare records using different perspectives.

Keywords:

machine learning, healthcare records, literature review methodology

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How to Cite

[1]
A. M. Alghamdi, M. A. Al-Khasawneh, A. Alarood, and E. Alsolami, “The Role of Machine Learning in Managing and Organizing Healthcare Records”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 2, pp. 13695–13701, Apr. 2024.

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