TY - CHAP
T1 - DICOM-based multidisciplinary platform for clinical decision support: Needs and direction
AU - Chan, Wing Chi
AU - Chan, Phoebe Suk Tak
AU - Zheng, Yongping
AU - Wong, Alex Ka Shing
AU - Liu, Ying
AU - Benzie, Iris Frances Forster
PY - 2008/6/11
Y1 - 2008/6/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=44649114632&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-78297-1_9
DO - 10.1007/978-3-540-78297-1_9
M3 - Chapter in an edited book (as author)
SN - 9783540782964
T3 - Studies in Computational Intelligence
SP - 191
EP - 212
BT - Advances of Computational Intelligence in Industrial Systems
ER -
