Title :
Selecting Classifiers for Medical Data Analysis
Author :
Abin, Deepa ; Potey, M.A.
Author_Institution :
Dept. of Comput. Eng., D.Y. Patil Coll. of Eng., Pune, India
Abstract :
Applying data mining algorithms for knowledge discovery is being done in almost all domains but particularly in medical and healthcare domain it is still a challenge. Health issues are a major concern in the current world. Massive amount of high dimensional data is generated across the medical organizations. To discover knowledge for building efficient healthcare systems data mining algorithms play a crucial role. We have applied selected Decision tree classification algorithms for performing medical data analysis which is important in medical sector. We suggest appropriateness of the selected algorithms to the specific disease data.
Keywords :
data mining; health care; medical administrative data processing; pattern classification; decision tree classification algorithms; disease data; healthcare domain; healthcare systems data mining algorithms; high dimensional data; knowledge discovery; medical data analysis; medical domain; medical organizations; medical sector; Cancer; Classification algorithms; Data mining; Decision trees; Diseases; Medical diagnostic imaging; Standards; Training set; decision tree; error estimates; test data;
Conference_Titel :
Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
Conference_Location :
Katra
DOI :
10.1109/ICMIRA.2013.60