DocumentCode
3047442
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
Volume
2
fYear
2011
fDate
9-11 Dec. 2011
Firstpage
43
Lastpage
47
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;
fLanguage
English
Publisher
ieee
Conference_Titel
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location
Cuangzhou
Print_ISBN
978-1-61284-701-6
Type
conf
DOI
10.1109/ITiME.2011.6132053
Filename
6132053
Link To Document