Cited By
View all- Kumar A(2019)Disambiguation Model for Bio-Medical Named Entity RecognitionDeep Learning Techniques for Biomedical and Health Informatics10.1007/978-3-030-33966-1_3(41-55)Online publication date: 15-Nov-2019
DTMBIO 2016: The Tenth International Workshop on Data and Text Mining in Biomedical Informatics
Pages 2511 - 2512
Abstract
Started in 2006 as a specialized workshop in the field of text mining applied to biomedical informatics, DTMBIO (ACM international workshop on Data and Text Mining in Biomedical Informatics) has been held annually in conjunction with one of the largest data management conferences, CIKM, bringing together researchers working on computer science and bioinformatics area. The purpose of DTMBIO is to foster discussions regarding the state-of-the-art applications of data and text mining on biomedical research problems. DTMBIO 2016 will help scientists navigate emerging trends and opportunities in the evolving area of informatics related techniques and problems in the context of biomedical research.
References
[1]
Heo, G.E., Kang, K.Y., and Song M. 2016. Examining the Field of Bioinformatics by the Multi-faceted Informetric Approach. In DTMBIO 2016.
[2]
Alamri, A., Stetvenson, M. 2016. Introducing a New Methodology to Construct a Potentially Contradictory Corpus from Biomedical Domain. In DTMBIO 2016.
[3]
Preiss, J., and Stevenson, M. 2016 Quantifying and Filtering Knowledge Generated by Literature Based Discovery. In DTMBIO 2016.
[4]
Tran, H., Kiefer, J., and Kim, S. 2016. Contextualization of Drug-Mediator Relations Using Public Knowledge-bases. In DTMBIO 2016.
[5]
Kim, Y., Beak, and Song, M. 2016. Constructing Linguistic Verb Source for Relation Extraction. In DTMBIO 2016.
[6]
Kim, E., and Nam, H. 2016. Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints. In DTMBIO 2016.
[7]
Kimothi, D., Soni, A., Biyani, P., and Hogan, J. 2016. Distributed Representations for Biological Sequence Analysis. In DTMBIO 2016.
[8]
Kim, K., Lee, S., Lee, K.H., and Lee, D. 2016. The coupling effect on VRTP of SIR epidemics in Scale-Free Networks. In DTMBIO 2016.
[9]
Kim, B., Jo, J., Han, J., Park, C., and Lee, H. 2016. In silico re-identification of properties of drug target proteins. In DTMBIO 2016.
[10]
Jung, J., Kwon, M., Bae, S., Yim, S., Kim, S., and Lee, D. 2016. Therapeutic target prediction for muscle atrophy by using Petri-net simulation on phosphorylation networks. In DTMBIO 2016.
[11]
Tsutsui, S., Ding, Y., and Meng, G. 2016. Machine Reading Approach to Understand Alzheimer's Disease Literature. In DTMBIO 2016.
Index Terms
- DTMBIO 2016: The Tenth International Workshop on Data and Text Mining in Biomedical Informatics
Recommendations
DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOver a decade, as a specialized workshop in the field of text mining applied to biomedical informatics, DTMBIO (ACM international workshop on Data and Text Mining in Biomedical Informatics) has been held annually in conjunction with one of the largest ...
DTMBIO 2015: International Workshop on Data and Text Mining in Biomedical Informatics
CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge ManagementHeld each year in conjunction with one of the largest data management conferences, CIKM, the Ninth ACM International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO'15) is organized to bring together researchers interested in ...
DTMBIO 2011: international workshop on data and textmining in biomedical informatics
CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge managementACM Fifth International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 11) organizers are pleased to announce that the fifth DTMBIO will be held in conjunction with CIKM, one of the largest data and text mining conferences. While ...
Comments
Information & Contributors
Information
Published In
October 2016
2566 pages
ISBN:9781450340731
DOI:10.1145/2983323
- General Chairs:
- Snehasis Mukhopadhyay,
- ChengXiang Zhai,
- Program Chairs:
- Elisa Bertino,
- Fabio Crestani,
- Javed Mostafa,
- Jie Tang,
- Luo Si,
- Xiaofang Zhou,
- Yi Chang,
- Yunyao Li,
- Parikshit Sondhi
Copyright © 2016 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 October 2016
Check for updates
Author Tags
Qualifiers
- Abstract
Conference
CIKM'16: ACM Conference on Information and Knowledge Management
October 24 - 28, 2016
Indiana, Indianapolis, USA
Acceptance Rates
CIKM '16 Paper Acceptance Rate 160 of 701 submissions, 23%;
Overall Acceptance Rate 1,861 of 8,427 submissions, 22%
Upcoming Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 166Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 10 Oct 2024
Other Metrics
Citations
Cited By
View all- Kumar A(2019)Disambiguation Model for Bio-Medical Named Entity RecognitionDeep Learning Techniques for Biomedical and Health Informatics10.1007/978-3-030-33966-1_3(41-55)Online publication date: 15-Nov-2019
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in