The role of data mining techniques and tools in big data management in healthcare field

Authors

  • Adel Alzahrani National Guard Health Affairs, Saudi Arabia
  • Abdullah Safhi King Abdualziz University, Saudi Arabia

DOI:

https://doi.org/10.37868/sei.v4i1.id128

Abstract

Data mining is one of the most important modern techniques used to achieve high output standards at all levels. The twenty-first century saw the advent of a new trend to improve medical services in the healthcare sector. To bridge the gap between previous studies and the practical applications of data mining, this study aimed to review the theoretical literature and previous studies related to the demonstration of data mining techniques and tools and their role in big data management. To achieve the objectives of the study, the researchers used a descriptive, analytical, documentary method. The study concluded many results including that in the era of the knowledge and technology revolution, data mining is one of the important issues, that requires everyone to take into account its achievements in our current era, as well as the existence of a correlation between big data and the provision of a separate health service in the field of healthcare, and work to address epidemics and discover vaccines for them. In the healthcare industry, data mining plays a vital role, especially in predicting various types of diseases. In detecting diseases, diagnosis is the main tool. The study recommended the need to conduct more experimental and exploratory studies dealing with healthcare data mining techniques and tools and their effect on the management of big data volumes, especially in our Arab countries and the need for the development of models and action plans and the development of processes and methods from which data in the healthcare sector can be explored.

Published

2022-02-02

How to Cite

[1]
A. Alzahrani and A. Safhi, “The role of data mining techniques and tools in big data management in healthcare field ”, Sustainable Engineering and Innovation, vol. 4, no. 1, pp. 58-65, Feb. 2022.

Issue

Section

Articles