Elragal Rawan, Elragal Ahmed, Habibipour Abdolrasoul
Department of Computer Science, Electrical, and Space Engineering, Luleå University of Technology, Luleå, Sweden.
Front Big Data. 2023 Oct 5;6:1277976. doi: 10.3389/fdata.2023.1277976. eCollection 2023.
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.
本研究通过解释以往研究如何利用大数据、人工智能和机器学习来识别、解决医疗保健问题，满足了医疗保健分析领域对研究的迫切需求。医疗科学方法与当代数据科学技术相结合，以审视文献、识别研究空白，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。该研究通过提供医疗保健分析的最新综述以及提出推进该领域知识的研究议程，为文献做出了贡献。本研究结果对医疗科学和数据科学研究人员以及该领域的从业者都可能有益。
