Title :
Medical data mining with extended WEKA
Author :
Robu, R. ; Hora, C.
Author_Institution :
Univ. Politeh. from Timisoara, Timisoara, Romania
Abstract :
This paper presents a synthesis on the analysis of medical data through data mining techniques. Aspects regarding data mining tools are also mentioned. Certain aspects related to the use of the classification techniques in the medical field as well as the improvements that were performed on the user interface for the classification of data, in the data mining tool WEKA, are presented. The achieved modifications improve the prediction process. The extended application was tested on four medical datasets obtained from UCI Machine Learning Repository and the results were good.
Keywords :
data analysis; data mining; learning (artificial intelligence); medical computing; pattern classification; user interfaces; UCI machine learning repository; classification technique; data classification; extended WEKA; medical data analysis; medical data mining; medical field; prediction process; user interface; Data mining; Data models; Diseases; Medical diagnostic imaging; Predictive models; User interfaces;
Conference_Titel :
Intelligent Engineering Systems (INES), 2012 IEEE 16th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-2694-0
Electronic_ISBN :
978-1-4673-2693-3
DOI :
10.1109/INES.2012.6249857
