Healthcare analytics—A literature review and proposed research agenda
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 ex...
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Published in: | Frontiers in big data Vol. 6; p. 1277976 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Frontiers Media S.A
05-10-2023
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Subjects: | |
Online Access: | Get full text |
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Summary: | 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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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 Edited by: Farman Ali, Sejong University, Republic of Korea Reviewed by: Tariq Hussain, Zhejiang Gongshang University, China; Muhammad Shoaib, CECOS University of Information Technology and Emerging Sciences, Pakistan |
ISSN: | 2624-909X 2624-909X |
DOI: | 10.3389/fdata.2023.1277976 |