Call for Papers [PDF]

ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics(DTMBIO)
November 7, 2014

In conjunction with ACM 23rd Conference on Information and Knowledge Management (CIKM)
Shanhai, China. November 3 - November 7, 2014

http://www.dtmbio.org/dtmbio2014/

DTMBIO 14 organizers are pleased to announce that the eighth DTMBIO will be held in conju-
nction 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 br-
ing 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 amo-
unt 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 Microarr-
ay 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 embeded 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 Interests
The relevant topics include the following (but not limited to):
•	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
•	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

Submission Guidelines
Authors are invited to submit original, unpublished research papers that are not being consider-
ed for publication in any other forum. Manuscripts should be submitted electronically, in PDF
format and formatted using the ACM camera-ready templates.
All papers (in PDF format) should be submitted to:
http://www.easychair.org/conferences/?conf=dtmbio14

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 14 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. Selected full papers will be invited for a special issue of BMC Medical
Informatics and Decision Making.

Important Dates (subject to change)
Deadline for submission of papers	Jul 30, 2014
Notification of Acceptance	Aug 22, 2014
Camera Ready Papers	Sep 02, 2014
Workshop	Nov 07, 2014


General Co-Chairs:
Doheon Lee	KAIST, Korea
Luonan Chen	Chinese Academy of Sciences, China

Program Co-Chairs:
Min Song	Yonsei University, Korea
Hua Xu	University of Texas, USA

Publicity Chair:
Sangwoo Kim	Yonsei University College of Medicine, Korea


Committee Members
Tatsuya Akutsu	Kyoto University, Japan
Olivier Bodenreider	US National Library of Medicine, USA
Trevor Cohen	University of Texas, USA
Wook-Shin Han	Kyungpook National University, Korea
Lynette Hirschman	MITRE, USA
Siddhartha Jonnalagadda	Mayo Clinic, USA
Li Liao	University of Delaware, USA
Jianbo Lei	Peking University, USA
Hongfang Liu	Mayo Clinic, USA
Christopher Markson	New Jersey Institute of Technology, USA
Meenakshi Mishra	University of Kansas, USA
Makoto Miwa	University of Manchester, UK
Hojung Nam	Gwangju Institute of Science and Technology (GIST), Korea
Claire Nédellec	Institut National de Recherché Agronomique, France
Alex Rudniy	NJIT, USA
Andrey Rzhetsky	University of Chicago, USA
Lee Sael	State University of New York Korea, Korea
Vijay Shanker	University of Delaware, USA
Manabu Torii	Kaiser Permanente, USA
Jay Urbain	Milwaukee School of Engineering, USA
Meliha Yetisgen-Yildiz	University of Washington, USA
W. John Wilbur	NIH, USA
Gwan-Su Yi	KAIST, Korea
Sungroh Yoon	Seoul National University, Korea
Hwanjo Yu	POSTECH, Korea