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Journal of Healthcare Engineering
Volume 2017, Article ID 6493016, 9 pages
Research Article

Association Patterns of Ontological Features Signify Electronic Health Records in Liver Cancer

1Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
2Philips Research China, Shanghai, China
3Department of Diagnostic Radiology, University of Hong Kong, Pok Fu Lam, Hong Kong

Correspondence should be addressed to Lawrence W. C. Chan; kh.ude.uylop@nahc.ihc.gniw

Received 7 April 2017; Accepted 21 May 2017; Published 6 August 2017

Academic Editor: Zhe He

Copyright © 2017 Lawrence W. C. Chan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Rim Messaoudi, Faouzi Jaziri, Achraf Mtibaa, Manuel Grand-Brochier, Hawa Mohamed Ali, Ali Amouri, Hela Fourati, Pascal Chabrot, Faiez Gargouri, and Antoine Vacavant, “Ontology-Based Approach for Liver Cancer Diagnosis and Treatment,” Journal of Digital Imaging, 2018. View at Publisher · View at Google Scholar
  • Rim Messaoudi, Taher Labidi, Antoine Vacavant, Faiez Gargouri, Manuel Grand-Brochier, Ali Amouri, Hela Fourati, Achraf Mtibaa, and Faouzi Jaziri, “An Ontological Model for Analyzing Liver Cancer Medical Reports,” Information Systems, vol. 341, pp. 369–382, 2019. View at Publisher · View at Google Scholar