Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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 and Benzie, Iris Frances Forster 2008. DICOM-based multidisciplinary platform for clinical decision support: Needs and direction. In: 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)

Full text not available from this repository.

Abstract

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
Related URLs:
Last Modified: 04 Jun 2017 05:24
URI: http://orca.cf.ac.uk/id/eprint/51234

Citation Data

Cited 2 times in Google Scholar. View in Google Scholar

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item