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Cited by 267

The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.

A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining

Open access
Islam, Md Saiful, Hasan, Md Mahmudul, Wang, Xiaoyi, Germack, Hayley D., Noor-E-Alam, Md·2018·Healthcare
DOI 10.3390/healthcare6020054
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Abstract

The growing healthcare industry is generating a large volume of useful data on patient demographics, treatment plans, payment, and insurance coverage—attracting the attention of clinicians and scientists alike. In recent years, a number of peer-reviewed articles have addressed different dimensions of data mining application in healthcare. However, the lack of a comprehensive and systematic narrative motivated us to construct a literature review on this topic. In this paper, we present a review of the literature on healthcare analytics using data mining and big data. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a database search between 2005 and 2016. Critical elements of the selected studies—healthcare sub-areas, data mining techniques, types of analytics, data, and data sources—were extracted to provide a systematic view of development in this field and possible future directions. We found that the existing literature mostly examines analytics in clinical and administrative decision-making. Use of human-generated data is predominant considering the wide adoption of Electronic Medical Record in clinical care. However, analytics based on website and social media data has been increasing in recent years. Lack of prescriptive analytics in practice and integration of domain expert knowledge in the decision-making process emphasizes the necessity of future research.

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Cites

Show all 145 references

Research works printed but not linked: 28

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Cited by

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Metadata

Authors
Islam, M. S., Hasan, M. M., Wang, X., Germack, H. D., & Noor-E-Alam, M.
Venue
Healthcare
Publisher
MDPI AG
Published
2018-05-23
Volume
6
Issue
2
Pages
54
ISSN
2227-9032 (ISSN-L)
DOI
10.3390/healthcare6020054
OpenAlex
W2803287810
Cited by
267
References
145
FWCI
6.25
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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CoChat. (2026). Citation check: A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining. https://app.cochat.ai/papers/10.3390/healthcare6020054
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Islam, M. S., Hasan, M. M., Wang, X., Germack, H. D., & Noor-E-Alam, M. (2018). A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining. Healthcare. https://doi.org/10.3390/healthcare6020054

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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