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|Ordinal=11 | |Ordinal=11 | ||
|Type=Workshop | |Type=Workshop | ||
| − | | | + | |Official Website=http://dtmbio.net/dtmbio2017/ |
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|City=Singapore | |City=Singapore | ||
| − | |Country= | + | |Country=Country:SG |
|has general chair=Doheon Lee, Mark Stevenson | |has general chair=Doheon Lee, Mark Stevenson | ||
|has program chair=Sangwoo Kim, Pauline Ng | |has program chair=Sangwoo Kim, Pauline Ng | ||
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|Start Date=2017/11/10 | |Start Date=2017/11/10 | ||
|End Date=2017/11/10 | |End Date=2017/11/10 | ||
| + | |Academic Field=Bioinformatics | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
}} | }} | ||
| + | {{Event Deadline | ||
| + | |Submission Deadline=2017/07/31 | ||
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ACM 11th International Workshop on Data and Text Mining in Biomedical | ACM 11th International Workshop on Data and Text Mining in Biomedical | ||
Informatics | Informatics | ||
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| − | Workshop | + | Workshop Chairs |
| − | General Co- | + | General Co-Chair: |
Doheon Lee, KAIST, Korea | Doheon Lee, KAIST, Korea | ||
Mark Stevenson, University of Sheffield, United Kingdom | Mark Stevenson, University of Sheffield, United Kingdom | ||
| − | Program Co- | + | Program Co-Chairs: |
Sangwoo Kim, Yonsei University, Korea | Sangwoo Kim, Yonsei University, Korea | ||
Pauline Ng, Genome Institute of Singapore, Singapore | Pauline Ng, Genome Institute of Singapore, Singapore | ||
| − | Publicity | + | Publicity Chair: |
| − | Dokyun Na, | + | Dokyun Na, Chung-Ang University, Korea |
Latest revision as of 13:07, 19 October 2022
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| Submission |
Singapore
ACM 11th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO) November 10, 2017
In conjunction with CIKM 2017
DTMBIO 17 organizers are pleased to announce that the eleventh DTMBIO will be held in conjunction with CIKM, one of the largest data and text mining conferences. While CIKM presents the state-of-the-art research in informatics with the primary focus on data and text mining, the main focus of DTMBIO is on biomedical and health informatics. DTMBIO delegates will bring forth interesting applications of up-to-date informatics in the context of biomedical research. This year, we are particularly interested in techniques and applications of Big Data Analytics to biomedical and clinical research problems.
Biological researchers face the current challenge of making effective use of the enormous amount of electronic biomedical data in order to better understand and explain complex biological systems. The biomedical data repositories include data in a wide variety of forms, including bibliographic information from electronic medical journals, gene expression data from microarray experiments, protein identification and quantification data from proteomics experiments, genomic sequences gathered by massively parallel sequencing, and patient healthcare records. The ability to automatically and effectively extract, integrate, understand and make use of information embedded in such heterogeneous – structured and unstructured – data remains a challenging task.
We invite the submission of papers that propose ways to address the variety of aspects involved in meeting this challenge.
Topic of Interest The relevant topics include the following (but not limited to):
- Biomedical and clinical text mining applications
- Big bio- or clinical- data analytics
- Integration of structured and unstructured resources for biomedical applications
- Information extraction from biomedical and clinical corpora (published literature, grey literature, EHRs, clinical trials, etc.)
- Information retrieval from large biomedical data collections
- Gene sequence annotation
- Protein/RNA structure prediction
- Medical Ontologies and Text Mining
- Entity or Concept recognition in text with ontologies
- Sequence and structural motifs
- Modeling of biochemical pathways and biological networks
- Image Mining in Medical and healthcare informatics
- Data and text Mining solutions in biomedical informatics, for applications such as drug development, system biology, biomedical working processes
- Information integration for Data and Text Mining
- Mining multi-relational data
- Proposal and assessment of novel Text Mining (TM) evaluation strategies
- Evaluation methods of biomedical applications, shared tasks
Submission Guidelines Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be submitted electronically, in PDF format and formatted using the ACM camera-ready templates (available in http://www.acm.org/publications/authors/submissions) .
Full papers: Submissions must describe substantial, original, completed and unpublished work. Full papers may consist of up to eight pages. Full papers will be presented at the workshop.
Short papers: DTMBIO 17 solicits short papers as well. Short paper submissions must describe original and unpublished work. Short papers will be presented at the workshop, and will be given four pages in the proceedings.
Posters: We solicit quality posters that describe previously published or unpublished work. Posters will be presented at the workshop. In the last DTMBIO, we had a session for a lightning talk (~5 mins) for each poster.
All papers (in PDF format) should be submitted to: https://easychair.org/conferences/?conf=dtmbio2017
Selected full papers (~ 8 papers) will be invited for a special issue of BMC Bioinformatics.
Important Dates (subject to change)
Extended Paper Submission Due: July 31, 2017 Notification of Acceptance: August 15, 2017 Camera Ready: August 31, 2017
Workshop Chairs
General Co-Chair:
Doheon Lee, KAIST, Korea
Mark Stevenson, University of Sheffield, United Kingdom
Program Co-Chairs: Sangwoo Kim, Yonsei University, Korea Pauline Ng, Genome Institute of Singapore, Singapore
Publicity Chair: Dokyun Na, Chung-Ang University, Korea
