Abstract
By analyzing the current status and problems of hospital medical data service, to propose the data cleaning scheme, and construct the database with the subject of disease expense to meet the requirements of further data mining. By analyzing costs of patients and the relationship of hospitals, diseases, surgeries, to establish a multilevel and three-dimensional analysis framework to study the current situation and characteristics of renal transplantation patients’ costs based on this framework. By using data mining technology, this paper tries to find out whether there are different rules of medical treatment behavior in the use of drugs and sanitary materials in the diagnosis and treatment of renal transplantation patients, and the current cost situation under different rules, and to explore the main factors affecting the cost of patients, so as to provide new ideas for the management and control of disease cost.
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This research was supported by the First Hospital of Jilin University.
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He, K., Wang, J., Wang, J., Wang, N. (2020). Cost of Kidney Transplantation on the Base of Data Mining Technology. 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_7
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DOI: https://doi.org/10.1007/978-981-15-1468-5_7
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