Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Carlo Torniai"'
Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology
Autor:
William D. Duncan, Thankam Thyvalikakath, Melissa Haendel, Carlo Torniai, Pedro Hernandez, Mei Song, Amit Acharya, Daniel J. Caplan, Titus Schleyer, Alan Ruttenberg
Publikováno v:
Journal of Biomedical Semantics, Vol 11, Iss 1, Pp 1-19 (2020)
Abstract Background A key challenge for improving the quality of health care is to be able to use a common framework to work with patient information acquired in any of the health and life science disciplines. Patient information collected during den
Externí odkaz:
https://doaj.org/article/93b5fa0fc73a4d71b7e10b3cd52e573f
Autor:
Anita Bandrowski, Ryan Brinkman, Mathias Brochhausen, Matthew H Brush, Bill Bug, Marcus C Chibucos, Kevin Clancy, Mélanie Courtot, Dirk Derom, Michel Dumontier, Liju Fan, Jennifer Fostel, Gilberto Fragoso, Frank Gibson, Alejandra Gonzalez-Beltran, Melissa A Haendel, Yongqun He, Mervi Heiskanen, Tina Hernandez-Boussard, Mark Jensen, Yu Lin, Allyson L Lister, Phillip Lord, James Malone, Elisabetta Manduchi, Monnie McGee, Norman Morrison, James A Overton, Helen Parkinson, Bjoern Peters, Philippe Rocca-Serra, Alan Ruttenberg, Susanna-Assunta Sansone, Richard H Scheuermann, Daniel Schober, Barry Smith, Larisa N Soldatova, Christian J Stoeckert, Chris F Taylor, Carlo Torniai, Jessica A Turner, Randi Vita, Patricia L Whetzel, Jie Zheng
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0154556 (2016)
The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide
Externí odkaz:
https://doaj.org/article/f988ee11ce904507a3a11c59e8f2e477
Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology
Autor:
Pedro Hernandez, Carlo Torniai, Daniel J. Caplan, Melissa A. Haendel, Thankam P. Thyvalikakath, Alan Ruttenberg, Mei Song, Titus Schleyer, William D. Duncan, Amit Acharya
Publikováno v:
Journal of Biomedical Semantics, Vol 11, Iss 1, Pp 1-19 (2020)
Journal of Biomedical Semantics
Journal of Biomedical Semantics
Background A key challenge for improving the quality of health care is to be able to use a common framework to work with patient information acquired in any of the health and life science disciplines. Patient information collected during dental care
Publikováno v:
Semantic Web. 6:139-146
In this paper we present the linked data sets produced by the eagle-i project. We describe the content, the features and some of the applications currently leveraging these datasets.
Publikováno v:
IEEE Transactions on Learning Technologies. 5:275-289
Recent research in Technology-Enhanced Learning (TEL) demonstrated several important benefits that semantic technologies can bring to the TEL domain. An underlying assumption for most of these research efforts is the existence of a domain ontology. T
Publikováno v:
IEEE Transactions on Learning Technologies. 4:301-314
Recent research in learning technologies has demonstrated many promising contributions from the use of ontologies and semantic web technologies for the development of advanced learning environments. In spite of those benefits, ontology development an
Publikováno v:
Interactive Learning Environments. 19:1-4
The Social Semantic Web in Intelligent Learning Environments: state of the art and future challenges
Publikováno v:
Interactive Learning Environments. 17:273-309
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this cont
Publikováno v:
International Journal of Parallel, Emergent and Distributed Systems. 22:407-416
The development of appropriate tools and solutions to support effective access to video content is one of the main challenges for video digital libraries. Different techniques for manual and automatic annotation and retrieval have been proposed in re
Autor:
Titus Kl, Schleyer, Alan, Ruttenberg, William, Duncan, Melissa, Haendel, Carlo, Torniai, Amit, Acharya, Mei, Song, Thankam P, Thyvalikakath, Kaihong, Liu, Pedro, Hernandez
Publikováno v:
AMIA Summits on Translational Science Proceedings
A key question for healthcare is how to operationalize the vision of the Learning Healthcare System, in which electronic health record data become a continuous information source for quality assurance and research. This project presents an initial, o