Healthcare analytics-A literature review and proposed research agenda.

Autor:	Elragal R; Department of Computer Science, Electrical, and Space Engineering, Luleå University of Technology, Luleå, Sweden., Elragal A; Department of Computer Science, Electrical, and Space Engineering, Luleå University of Technology, Luleå, Sweden., Habibipour A; Department of Computer Science, Electrical, and Space Engineering, Luleå University of Technology, Luleå, Sweden.
Jazyk:	angličtina
Zdroj:	Frontiers in big data [Front Big Data] 2023 Oct 05; Vol. 6, pp. 1277976. Date of Electronic Publication: 2023 Oct 05 (Print Publication: 2023).
DOI:	10.3389/fdata.2023.1277976
Abstrakt:	This research addresses the demanding need for research in healthcare analytics, by explaining how previous studies have used big data, AI, and machine learning to identify, address, or solve healthcare problems. Healthcare science methods are combined with contemporary data science techniques to examine the literature, identify research gaps, and propose a research agenda for researchers, academic institutions, and governmental healthcare organizations. The study contributes to the body of literature by providing a state-of-the-art review of healthcare analytics as well as proposing a research agenda to advance the knowledge in this area. The results of this research can be beneficial for both healthcare science and data science researchers as well as practitioners in the field. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Elragal, Elragal and Habibipour.)
Databáze:	MEDLINE
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