@neurIST: Infrastructure for Advanced Disease Management Through Integration of Heterogeneous Data, Computing, and Complex Processing Services - Research portal of Justus Liebig University Giessen:

Journal article

@neurIST: Infrastructure for Advanced Disease Management Through Integration of Heterogeneous Data, Computing, and Complex Processing Services

Authors list: Benkner, Siegfried; Arbona, Antonio; Berti, Guntram; Chiarini, Alessandro; Dunlop, Robert; Engelbrecht, Gerhard; Frangi, Alejandro F.; Friedrich, Christoph M.; Hanser, Susanne; Hasselmeyer, Peer; Hose, Rod D.; Iavindrasana, Jimison; Köhler, Martin; Lo Iacono, Luigi; Lonsdale, Guy; Meyer, Rodolphe; Moore, Bob; Rajasekaran, Hariharan; Summers, Paul E.; Wöhrer, Alexander; Wood, Steven

Publication year: 2010

Pages: 1365-1377

Journal: IEEE Transactions on Information Technology in Biomedicine

Volume number: 14

Issue number: 6

ISSN: 1089-7771

eISSN: 1558-0032

DOI Link: https://doi.org/10.1109/TITB.2010.2049268

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Abstract:
The increasing volume of data describing human disease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers. This paper presents the @neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together heterogeneous data and complex processing and computing services. Although @neurIST targets the investigation and treatment of cerebral aneurysms, the system's architecture is generic enough that it could be adapted to the treatment of other diseases. Innovations in @neurIST include confining the patient data pertaining to aneurysms inside a single environment that offers clinicians the tools to analyze and interpret patient data and make use of knowledge-based guidance in planning their treatment. Medical researchers gain access to a critical mass of aneurysm related data due to the system's ability to federate distributed information sources. A semantically mediated grid infrastructure ensures that both clinicians and researchers are able to seamlessly access and work on data that is distributed across multiple sites in a secure way in addition to providing computing resources on demand for performing computationally intensive simulations for treatment planning and research.

Authors/Editors

- Uni.-Prof. Dr.-Ing. Luigi Lo Iacono

Citation Styles

Harvard Citation style: Benkner, S., Arbona, A., Berti, G., Chiarini, A., Dunlop, R., Engelbrecht, G., et al. (2010) @neurIST: Infrastructure for Advanced Disease Management Through Integration of Heterogeneous Data, Computing, and Complex Processing Services, IEEE Transactions on Information Technology in Biomedicine, 14(6), pp. 1365-1377. https://doi.org/10.1109/TITB.2010.2049268

APA Citation style: Benkner, S., Arbona, A., Berti, G., Chiarini, A., Dunlop, R., Engelbrecht, G., Frangi, A., Friedrich, C., Hanser, S., Hasselmeyer, P., Hose, R., Iavindrasana, J., Köhler, M., Lo Iacono, L., Lonsdale, G., Meyer, R., Moore, B., Rajasekaran, H., Summers, P., ...Wood, S. (2010). @neurIST: Infrastructure for Advanced Disease Management Through Integration of Heterogeneous Data, Computing, and Complex Processing Services. IEEE Transactions on Information Technology in Biomedicine. 14(6), 1365-1377. https://doi.org/10.1109/TITB.2010.2049268