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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References
Kayler, L.K., Y. Xia, and P. Friedmann. 2015. Effect of HCV/HIV coinfection versus HCV monoinfection in kidney transplant recipients. American Journal of Transplantation 3: 312–315.
Alam, S., D. Rangaswamy, S. Prakash, R. Sharma, M. Khan, A. Sonawane, and S. Agrawal. 2015. Impact of killer immunoglobulin-like receptor-human leukocyte antigens ligand incompatibility among renal transplantation. Indian Journal of Nephrology 1: 11–15.
Visentin, Jonathan, Mélanie Marroc, and Gwendaline Guidicelli. 2015. Clinical impact of preformed donor-specific denatured class I HLA antibodies after kidney transplantation. Clinical Transplantation 5: 631–633.
Holdaas, Hallvard, and Trond Jenssen. 2015. One-year protocol biopsies from ABO-incompatible renal allografts compared with a matched cohort of ABO-compatible allografts. Clinical Transplantation 3: 312–315.
Zaher Al Aghbari. 2004. Array-index: A plug&search K nearest neighbors method for high-dimensional data. Data & Knowledge Engineering 3: 327–331.
Shepherd, James, John JP Kastelein, Vera Bittner, Prakash Deedwania, Andrei Breazna, Stephen Dobson, Daniel J. Wilson, Andrea Zuckerman, and Nanette K. Wenger. 2007. Effect of intensive lipid lowering with atorvastatin on renal function in patients with coronary heart disease: The Treating to New Targets (TNT) study. Clinical Journal of the American Society of Nephrology: CJASN 3: 432–437.
Atthobari, Jarir, Auke H. Brantsma, Ron T. Gansevoort, Sipke T. Visser, Folkert W. Asselbergs, Wiek H. van Gilst, Paul E. de Jong, and Lolkje TW de Jong-van den Berg. 2006. The effect of statins on urinary albumin excretion and glomerular filtration rate: Results from both a randomized clinical trial and an observational cohort study. Nephrology, Dialysis, Transplantation: Official Publication of the European Dialysis and Transplant Association—European Renal Association 21: 3106–3114.
Weimert Nicole, A., and R. Alloway Rita. 2007. Renal transplantation in high-risk patients. Drugs 3 (222–224): 2007.
Melab, Nordine. 2001. Data mining: A key contribution to E-business. Information & Communications Technology Law 3: 535–539.
Shu, Wanneng, and Lixing Ding. 2011. ECOGA: Efficient data mining approach for fuzzy association rules. Journal of Software 1: 312–315.
Hsu, J.H., C.S. Tseng, and S.C. Chen. 2001. A methodology for evaluation of boundary detection algorithms on breast ultrasound images. Journal of Medical Engineering & Technology 4: 529–534.
Pinto, Duane S., Paul D. Frederick, Anjan K. Chakrabarti, Ajay J. Kirtane, Edward Ullman, Andre Dejam, Dave P. Miller, Timothy D. Henry, and C. Michael Gibson. 2011. Benefit of transferring ST-segment–elevation myocardial infarction patients for percutaneous coronary intervention compared with administration of onsite fibrinolytic declines as delays increase. Circulation 23: 3127–3132.
Di Mario, Carlo, Dariusz Dudek, Federico Piscione, and Waldemar Mielecki. 2008. Immediate angioplasty versus standard therapy with rescue angioplasty after thrombolysis in the Combined Abciximab REteplase Stent Study in Acute Myocardial Infarction (CARESS-in-AMI): An open, prospective, randomised, multicentre trial. The Lancet 9612: 8372–8375.
Cerrito, Patricia B. 2007. Choice of antibiotic in open heart surgery. Intelligent Decision Technologies 1: 12–15.
Yang, Wan-Shiou, and San-Yih Hwang. 2005. A process-mining framework for the detection of healthcare fraud and abuse. Expert Systems with Applications 1: 31–35.
Hemant, M. 2005. Phatak: Retrospective detection of potential medication errors involving drugs with similar names. Journal of the American Pharmacists Association 5: 622–627.
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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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