Healthcare analytics-A literature review and proposed research agenda.

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Frontiers in Big Data Pub Date : 2023-10-05 eCollection Date: 2023-01-01 DOI:10.3389/fdata.2023.1277976
Rawan Elragal, Ahmed Elragal, Abdolrasoul Habibipour
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引用次数: 0

Abstract

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.

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医疗保健分析——文献综述和拟议的研究议程。
这项研究通过解释以前的研究如何使用大数据、人工智能和机器学习来识别、解决或解决医疗保健问题,满足了医疗保健分析研究的迫切需求。医疗保健科学方法与当代数据科学技术相结合,以检查文献,确定研究差距,并为研究人员、学术机构和政府医疗保健组织提出研究议程。该研究通过对医疗分析进行最先进的综述,并提出了推进该领域知识的研究议程,为大量文献做出了贡献。这项研究的结果对医疗保健科学和数据科学研究人员以及该领域的从业者都是有益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.20
自引率
3.20%
发文量
122
审稿时长
13 weeks
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