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A convergence data model for medical information related to acute myocardial infarction

Title
A convergence data model for medical information related to acute myocardial infarction
Authors
Lee M.Park Y.-S.Kim M.-H.Lee J.-W.
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
2016
Journal Title
Human-centric Computing and Information Sciences
ISSN
2192-1962JCR Link
Citation
vol. 6, no. 1
Keywords
AMI (acute myocardial infarction)CAG (coronary angiography)Data convergenceData modelMedical information
Publisher
Springer Berlin
Indexed
SCOPUS scopus
Abstract
Medical and health data has become accepted as the highly worthful and useful big data. However, the current medical information systems have aimed for digitalizaing, storing, and transferring clinical materials. Therefore, many experts assert the needs for the intelligent management and utilization of medical information. In this paper, in order to manage medical data which is separately stored in various materials, we attempt to define a convergence data model by analyzing characteristics and semantic relations of medical data. In particular, since essential clinical materials and medical data for the diagnoses and treatments depend on the kind of diseases, the proposed data model is applied to a target disease, AMI (acute myocardial infarction). Our model can contribute to the effective management and provision of medical data. © 2016, The Author(s).
DOI
10.1186/s13673-016-0071-4
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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