Title :
A data mining method on the study of medical information
Author :
Zhao, Xiaofeng ; Jiao, Liyan ; An, Jinping ; Wang, Li ; Jia, Lipin
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
Abstract :
For a long time, the cause of diabetes has been an unsolved problem. And with the deepening of diabetes research, much information has been collected. There may contain lots of interesting information within the collected medical information. But, the traditional medical methods can only study the human organ from the microscopic view, and lack of the capability of process large medical data set. So, in this paper, an data mining method is introduced to provide a new way to find the diabetes etiology.
Keywords :
data mining; diseases; medical computing; medical information systems; data mining; diabetes etiology; large medical data set; medical information; Accuracy; Approximation methods; Association rules; Diabetes; History; Itemsets; Apriori algorithm; Data mining; diabetes; medical data;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5623058