Publication: Healthcare intelligence: Turning data into knowledge
| dc.contributor.author | Yang, H. | |
| dc.contributor.author | Kundakcıoğlu, Ömer Erhun | |
| dc.contributor.department | Industrial Engineering | |
| dc.contributor.ozuauthor | KUNDAKCIOĞLU, Ömer Erhun | |
| dc.date.accessioned | 2016-06-30T12:33:34Z | |
| dc.date.available | 2016-06-30T12:33:34Z | |
| dc.date.issued | 2014 | |
| dc.description | Due to copyright restrictions, the access to the full text of this article is only available via subscription. | |
| dc.description.abstract | Exceptional opportunities exist for researchers and practitioners to invest in conducting innovative and transformative research in data mining and health informatics. This IEEE Intelligent Systems "Trends and Controversies" (T&C) department hopes to raise awareness and highlight recent research to move toward such goals. The introduction, "Healthcare Intelligence: Turning Data into Knowledge," is written by Hui Yang and Erhun Kundakcioglu. Next, "Empowering Excellence of Care by Radiology Informatics" is written by Jing Li, Teresa Wu, J. Ross Mitchell, Amy K. Hara, William Pavlicek, Leland S. Hu, Alvin C. Silva, and Christine M. Zwart. Third, "Opportunities for Operations Research in Medical Decision Making" is written by Sait Tunc, Oguzhan Alagoz, and Elizabeth Burnside. Fourth, "Diagnostic Network Modeling of Neural Connectivity Using Functional Magnetic Resonance Imaging" is written by W. Art Chaovalitwongse, Georgiy Presnyakov, Yulian Cao, Sirirat Sujitnapitsatham, Daehan Won, Tara Madhyastha, Kurt E. Weaver, Paul R. Borghesani, and Thomas J. Grabowski. The final article, "Spatial Clustering in Public Health: Advances and Challenges," is written by Lianjie Shu, Man Ho Ling, Shui-Yee Wong, and Kwok-Leung Tsui. | |
| dc.description.sponsorship | Macau Science and Technology Development Fund ; the Food and Health Bureau ; the Research Grants Council | |
| dc.identifier.doi | 10.1109/MIS.2014.45 | |
| dc.identifier.endpage | 1672 | |
| dc.identifier.issn | 1541-1672 | |
| dc.identifier.scopus | 2-s2.0-84906269680 | |
| dc.identifier.startpage | 1541 | |
| dc.identifier.uri | http://hdl.handle.net/10679/4221 | |
| dc.identifier.uri | https://doi.org/10.1109/MIS.2014.45 | |
| dc.identifier.wos | 000341575700008 | |
| dc.language.iso | eng | en_US |
| dc.peerreviewed | yes | |
| dc.publicationstatus | published | en_US |
| dc.publisher | IEEE | |
| dc.relation.ispartof | IEEE Intelligent Systems | |
| dc.relation.publicationcategory | International Refereed Journal | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | |
| dc.subject.keywords | Data mining | |
| dc.subject.keywords | Medical information systems | |
| dc.title | Healthcare intelligence: Turning data into knowledge | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | 5dd73c02-fd2d-43e0-9a23-71bab9ae0b6b | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 5dd73c02-fd2d-43e0-9a23-71bab9ae0b6b |