DTMBIO 12 organisers are pleased to announce that the sixth 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 healthcare informatics. DTMBIO delegates will bring forth interesting applications of up-to-date informatics in the context of biomedical research.

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 the Human Genome Project, 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.

Relevant topics include (but are not limited to) the following:

  • Proposal and assessment of novel Text Mining (TM) evaluation
  • Evaluation methods of biomedical applications, shared tasks
  • Biomedical and Clinical text mining applications
  • Information extraction from biomedical and clinical corpora (full texts, abstracts, EHRs, clinical trials, etc)
  • Information retrieval from large biomedical data collections
  • Gene sequence annotation
  • Protein/RNA structure prediction
  • Medical Ontologies and Text Mining
  • Sequence and structural motifs
  • Modelling 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
  • Workflow modeling and analysis for drug development, system biology, and biomedical working processes
  • Information integration for Data and Text Mining
  • Mining multi-relational data

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Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.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.

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 12 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. All papers (in PDF format) should be submitted to:

Selected full papers will be invited for a special issue of BMC Medical Informatics and Decision Making and International Journal of Data Mining and Medical and Healthcare Informatics.

Important Dates

11 July 2012 ** Extended deadline for paper submission **
3 August 2012 Notification of Acceptance
26 August 2012 Camera Ready Papers
29 October 2012 Workshop

Workshop Chairs

General Co-Chairs

Doheon Lee, KAIST, Korea
Sophia Ananiadou, University of Manchester, UK

Program Co-Chairs

Min Song, Yonsei University, Korea
Hua Xu, Vanderbilt University, USA

Publicity Chair

David Martinez, NICTA, Australia

Programme Committee

Tatsuya Akutsu, Kyoto University, Japan
Sophia Ananiadou, University of Manchester, UK
Timothy Baldwin, University of Melbourne, Australia
Christian Blaschke, CNIO, Spain
Olivier Bodenreider, US National Library of Medicine, USA
Jun Huan, University of Kansas, USA
Jaewoo Kang, Korea University, Korea
Ioannis Korkontzelos, University of Manchester, UK
Doheon Lee, KAIST, Korea
Ki Young Lee, Aju University, Korea
Sael Lee, Samsung Advanced Institute of Technology, Korea
Li Liao, University of Delaware, USA
Feifan Liu, University of Wisconsin-Milwaukee, USA
Hongfang Liu, Mayo Clinic, USA
David Martinez, NICTA VRL, Australia
Martin Middendorf, University of Leipzig, Germany
Makoto Miwa, University of Manchester, UK
Naoaki Okazaki, Tohoku University, Japan
Sanghyun Park, Yonsei University, Korea
Guergana Savova, Children's Hospital Boston and Harvard Medical School, USA
Stefan Schulz, Medical University of Graz, Austria
Isabel Segura Bedmar, Universidad Carlos III de Madrid, Spain
Min Song, Yonsei University, Korea
Manabu Torii, University of Delaware, USA
Yoshimasa Tsuruoka, University of Tokyo, Japan
Hua Xu, Vanderbilt University, USA
Alexander Yates, Temple University, USA
Hwanjo Yu, POSTECH, Korea
Pierre Zweigenbaum, LIMSI-CNRS, France

Previous itemNext item
Back to news summary page