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.
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References
Perera, S., Henson, C., Thirunarayan, K., Sheth, A., Nair, S.: Semantics Driven Approach for knowledge Acquisition From EMRs. IEEE Journal of Biomedical and Health Informatics 18(2), 515–524 (2014)
Na, H.-S., Yun, S.-Y., Park, S.-C.: Design and implementation of mapping system for effective health information data exchange in multi-platform environment. The Journal of Korean Institute of Information Technology 10(12), 143–150 (2012)
Valente, F., Viana-Ferreira, C., Costa, C., Oliveira, J.L.: A RESTful image gateway for multiple medical image repositories. IEEE Transactions on Information Technology in Biomedicine 16(3), 356–364 (2012)
Alvarez, L.R., Vargas Solis, R.C.: DICOM RIS/PACS telemedicine network implementation using free open source software. IEEE Latin America Transactions 11(1), 168–171 (2013)
ASTM International, ASTM E2369-12: standard specification for continuity of care record (CCR) (2012)
Health Level 7 International, HL7 implementation guide for CDA release 2. http://www.hl7.org/implement/standards/product_brief.cfm?product_id=7
Health Level 7 International, HL7 implementation guide: CDA release 2 – Continuity of Care Document (CCD) (2007)
Park, S.H., Park, H.A., Ryu, K.S., Kim, H., Ryu, K.H.: A long-term mortality prediction model for patient with st-segment elevation myocardial infarction using decision tree. In: Proceeding of the Korea Computer Congress, no. 1(C), pp. 139–141 (2012)
Martinez-Romero, M., Vazquez-Naya, J.M., Pereira, J., Pereira, M., Pazos, A., Banos, G.: The iOSC3 System - Using Ontologies and SWRL Rules for Intelligent Supervision and Care of Patients with Acute Cardiac Disorders. Computational and Mathematical Methods in Medicine, 1-13 (2013)
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© 2015 Springer Science+Business Media Singapore
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Lee, M., Park, YS., Kim, MH., Lee, JW. (2015). Convergence Modeling of Heterogeneous Medical Information for Acute Myocardial Infarction. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_107
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DOI: https://doi.org/10.1007/978-981-10-0281-6_107
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