Abstract
To analyze the current situation and prospect of hospital medical service database, put forward the data cleaning scheme, and establish the database with the theme of disease expense. On the base of literature research, the data cleaning process was summarized and sorted out, and the detection and cleaning methods for different data problems were found. By performing the algorithms and research progress of decision tree, association rules and other data mining technologies, to construct select the data mining model suitable for medical expenses evaluation of kidney transplantation.
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This research was supported by the First Hospital of Jilin University.
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Yu, H., Wang, J., Xu, H., Wang, N. (2020). Establishment of a Data Mining System for Estimating the Medical Cost of Renal Transplantation. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_115
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DOI: https://doi.org/10.1007/978-981-15-1468-5_115
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