Abstract
In order to attract the attention of doctors, nurse practitioners, clinical pharmacist, physician assistants and scientists alike, the rising health sector is producing a massive quantity of patient personal details and imbursements. The aims of this paper are to compare the different techniques, approaches and tools and also to measure their effectiveness in the healthcare sector. The main objective of the data mining application is to convert data into facts, text or number of applications that have been refined into knowledge by a computer. The purpose of applying data mining is to devise a programmed tool to identify and inaugurate relevant healthcare information in the healthcare industry. The researcher aims to study different types and challenges of data mining applications in the healthcare industries. Lastly, it also shows the past data mining techniques and its implementation methods.
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Shanthakumari, A.S., Jayakarthik, R. (2022). Data Mining in Health Care: Application Perspective. In: Ramu, A., Chee Onn, C., Sumithra, M. (eds) International Conference on Computing, Communication, Electrical and Biomedical Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-86165-0_13
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DOI: https://doi.org/10.1007/978-3-030-86165-0_13
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