Title :
Discovering medical association rules from medical datasets
Author :
Almodaifer, Ghada ; Hafez, Alaadin ; Mathkour, Hassan
Author_Institution :
Coll. of Comput. & Inf. Sci., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
In this paper, we aim to discover interesting medical association rules from medical datasets for prediction purposes. This medical dataset is a data set of patients´ records, where each record is a combination of both textual information (personal and medical) and extracted image features for the given patient. We provide an association rule mining system that discovers constrained association rules in medical records that includes numeric, categorical and image features.
Keywords :
data mining; feature extraction; medical information systems; image feature extraction; medical association rule discovery; medical datasets; medical records; patient records; textual information; Approximation algorithms; Association rules; Biomedical imaging; Databases; Educational institutions; Feature extraction; association rules; constraints; data mining; medical datasets;
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
DOI :
10.1109/ITiME.2011.6132053
