Decision-Making Analysis of Prognosis of Renal Transplant Recipient on the Base of Data Mining

Autor:	Jinguo Wang, Yunhai Yu, Xige Yang, Na Wang
Rok vydání:	2020
Předmět:	medicine.medical_specialty business.industry Decision tree medicine.disease Transplantation Renal transplant medicine Decision making analysis Personalized medicine business Intensive care medicine Survival rate Kidney transplantation Decision tree model
Zdroj:	Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019) ISBN: 9789811514678 DPTA
DOI:	10.1007/978-981-15-1468-5_146
Popis:	The survival rate, living status and follow-up status, long-term and short-term prognosis, acute rejection and rejection prognosis of renal transplant recipients were analyzed by decision tree. This study introduced large sample data of kidney transplantation into the decision tree, which was a statistical model to predict the prognosis of renal transplant recipients, and realize the visual expression of the various factors affecting and prioritization, and provide reliable basis for clinical practice. The integration of the renal transplantation with the software, database and decision-making tree model can realize dynamic growth of model to realize the possibility of personalized medicine for patients.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c2c146a204ba6fbf2d797bccfb0e8606 https://doi.org/10.1007/978-981-15-1468-5_146 Zobrazit plný text záznamu