File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Ontological features of Electronic Health Records reveal distinct association patterns in liver cancer

TitleOntological features of Electronic Health Records reveal distinct association patterns in liver cancer
Authors
KeywordsCancer Signature
Clinical Decision Support
Electronic Health Record
Hepatocellular Carcinoma
Ontology
SNOMED
Issue Date2016
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001586
Citation
Proceedings of 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, China, 15-18 December 2016, p. 1051-1053 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/246307

 

DC FieldValueLanguage
dc.contributor.authorChan, LWC-
dc.contributor.authorWong, SCS-
dc.contributor.authorChiu, WHK-
dc.date.accessioned2017-09-18T02:26:12Z-
dc.date.available2017-09-18T02:26:12Z-
dc.date.issued2016-
dc.identifier.citationProceedings of 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, China, 15-18 December 2016, p. 1051-1053-
dc.identifier.urihttp://hdl.handle.net/10722/246307-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001586-
dc.relation.ispartofIEEE International Conference on Bioinformatics and Biomedicine Proceedings-
dc.rightsIEEE International Conference on Bioinformatics and Biomedicine Proceedings. Copyright © IEEE.-
dc.rights©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectCancer Signature-
dc.subjectClinical Decision Support-
dc.subjectElectronic Health Record-
dc.subjectHepatocellular Carcinoma-
dc.subjectOntology-
dc.subjectSNOMED-
dc.titleOntological features of Electronic Health Records reveal distinct association patterns in liver cancer-
dc.typeConference_Paper-
dc.identifier.emailChiu, WHK: kwhchiu@hku.hk-
dc.identifier.authorityChiu, WHK=rp02074-
dc.identifier.doi10.1109/BIBM.2016.7822667-
dc.identifier.scopuseid_2-s2.0-85013308894-
dc.identifier.hkuros278981-
dc.identifier.spage1051-
dc.identifier.epage1053-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats