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DICOM-based multidisciplinary platform for clinical decision support: Needs and direction

Chan, Lawrence Wing-Chi, Chan, Phoebe Suk-Tak, Zheng, Yongping, Wong, Alex Ka-Shing, Liu, Ying ORCID: and Benzie, Iris Frances Forster 2008. DICOM-based multidisciplinary platform for clinical decision support: Needs and direction. Liu, Y., Sun, A., Loh, H. T., Lu, W. F. and Lim, E. P., eds. Advances of Computational Intelligence in Industrial Systems, Studies in Computational Intelligence, vol. 116. Berlin: Springer, pp. 191-212. (10.1007/978-3-540-78297-1_9)

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Multi-disciplinary platform is created to store and integrate DICOM objects from various clinical disciplines. With artificial intelligence, clinical decision support system is built to assess risk of disease complications using the features extracted from the DICOM objects and their interrelationship. Diabetes Mellitus is considered as the disease of interest and the risks of its complications are assessed based on the extracted features. The synergy of the DICOM-based multi-disciplinary platform and the clinical decision support system provides promising functions for extracting and interrelating consistent features of clinical information.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: R Medicine > R Medicine (General)
T Technology > TA Engineering (General). Civil engineering (General)
Publisher: Springer
ISBN: 9783540782964
ISSN: 1860949X
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Last Modified: 25 Oct 2022 08:03

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