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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM35532
Volume:
8 |
6 |
Jun 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Data mining in the healthcare industry involves the process of extracting valuable patterns, insights, and knowledge from large and complex datasets in order to make informed decisions, predict future outcomes, and gain statistical knowledge about the behavior of the healthcare system. It involves applying various statistical techniques to identify events, correlations, and trends within the data. Leveraging clinical evidence, regarding data businesses have built some of the most accurate detection equipment and other medical technology. In view of this growing concern we examined several studies in this topic in terms of methodology methods results The works studied in this review research were classified by fields models tasks techniques The results assessment procedures of chosen research are evaluated to finish the study and an interpretation of the results is supplied Overall, data mining in the healthcare industry helps in improving patient care, optimizing resource allocation, and enhancing decision-making processes.
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Publication Date
7/5/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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