Call for Papers

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