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Convergence modeling of heterogeneous medical information for acute myocardial infarction

Title
Convergence modeling of heterogeneous medical information for acute myocardial infarction
Authors
Lee M.Park Y.-S.Kim M.-H.Lee J.-W.
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
2015
Journal Title
Lecture Notes in Electrical Engineering
ISSN
1876-1100JCR Link
Citation
vol. 373, pp. 757 - 763
Keywords
AMI(Acute Myocardial Infarction)Data convergenceData modelingHeterogeneous dataMedical information
Publisher
Springer Verlag
Indexed
SCOPUS scopus
Abstract
In recent years, as the big data boom accelerates, the possibility of using personal health and medical data is also growing. However, since most of previous studies have focused on computerizing, storing, and transferring of medical data, it is hard to say that they intelligently use medical data. Particularly, in cases of urgent diseases like acute myocardial infarction (AMI) that prompt diagnosis and treatment is needed, the current hospital information systems are difficult to efficiently provide information. Therefore, in this paper, we propose a convergence modeling method based on semantic relations by analyzing characteristics of medical data for AMI. The proposed method can unify medical data which is separately stored in medical information systems and provide important data as a one record. © Springer Science+Business Media Singapore 2015.
DOI
10.1007/978-981-10-0281-6_107
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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