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Data Mining in Healthcare – A Review
Open accessAbstract
The knowledge discovery in database (KDD) is alarmed with development of methods and techniques for making use of data. One of the most important step of the KDD is the data mining. Data mining is the process of pattern discovery and extraction where huge amount of data is involved. Both the data mining and healthcare industry have emerged some of reliable early detection systems and other various healthcare related systems from the clinical and diagnosis data. In regard to this emerge, we have reviewed the various paper involved in this field in terms of method, algorithms and results. This review paper has consolidated the papers reviewed inline to the disciplines, model, tasks and methods. Results and evaluation methods are discussed for selected papers and a summary of the finding is presented to conclude the paper.
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Citations
Cited by
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0574-6 · Cited by 1,240
Ahmed, Z., Mohamed, K., Zeeshan, S., & Dong, X. (2020) · Database · doi:10.1093/database/baaa010 · Cited by 1,035
Medical 4.0 technologies for healthcare: Features, capabilities, and applications
Haleem, A., Javaid, M., Pratap Singh, R., & Suman, R. (2022) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2022.04.001 · Cited by 468
Intelligence in the Internet of Medical Things era: A systematic review of current and future trends
Al-Turjman, F., Nawaz, M. H., & Ulusar, U. D. (2020) · Computer Communications · doi:10.1016/j.comcom.2019.12.030 · Cited by 339
Data clustering: application and trends
Oyewole, G. J., & Thopil, G. A. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-022-10325-y · Cited by 312
Metadata
- Authors
- Jothi, N., Rashid, N. A., & Husain, W.
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2015
- Volume
- 72
- Pages
- 306-313
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W2264375300
- Cited by
- 300
- References
- 0
- FWCI
- 17.15
- Type
- conference paper
- Language
- en
- Open access
- diamond
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- Jothi, N., Rashid, N. A., & Husain, W. (2015). Data Mining in Healthcare – A Review. Procedia Computer Science. https://doi.org/10.1016/j.procs.2015.12.145
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
