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Workshop on Data Mining in Biomedical informatics and Healthcare


-- In conjunction with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014)


When:  May 13, 2014

Where: Tainan, Taiwan

Web: http://pakdd2014.pakdd.org/


Mining biological, biomedical, and health data is an emerging research area at the intersection between biology and data mining. As genomic sequencing generation, electronic medical record utilization, and other large-scale data has increased exponentially in recent years, the biomedical informatics fields are undergoing an important stage with new breakthroughs on dealing with dramatically increased information in terms of size and complexity. Research that bridges the latest multimodal measurement technologies with large amounts of electronic healthcare data is increasing. 

The workshop aims to provide a forum for data miners, informaticians and clinical researchers to share novel findings on their latest investigations in applying data mining techniques to biomedical and healthcare data.  The broader context of the workshop comprehends artificial intelligence, information retrieval, machine learning, and natural language processing. Submissions are invited to address the need for developing novel methods to mine, summarize and integrate the huge volume and diverse modalities of the structured and unstructured biomedical and healthcare data that can potentially lead to significant advances in the field. This workshop will aim to provide research methodologies and tools on managing, analyzing, visualizing, and extracting information from large, diverse, complex, longitudinal, and/or distributed biological and biomedical data sets. 


Topics of Interest

· Topic detection and information extraction in Electronic Medical Records (EMR)

· Computational drug discovery

· Temporal data management in EMR

· Longitudinal analysis of clinical notes and surveys

· Evidence-based medicine

· Medical image data mining

· Computer-aided detection and diagnosis

· Data preprocessing and cleansing to deal with noise and missing data in medical data

· Pharmacogenomics data mining

· Systems Pharmocology

· Biomarker discovery

· Integrative analysis of Biological and clinical data

· Computational genetics, genomics and proteomics

· Application of data mining approaches in personalized medicine


    Important Dates

  •   January 15, 2014: Due date for workshop papers submission --- Due date extended to January 19, 2014
  •   February 15, 2014: Notification of paper decision to authors
  •   February 21, 2014: Camera-ready of accepted papers
  •   May 13, 2014: Workshop


    Submission Information

  •         We call for original and unpublished research contributions of manuscripts to the workshop following the Springer LNCS/LNAI manuscript submission guidelines (available at http://www.springer.de/comp/lncs/authors.html). 

  •         Each submitted paper should include an abstract up to 200 words and be no longer than 12 single-spaced pages with 10pt font size.   All papers must be submitted electronically through the paper submission system in PDF format only.  The submitted paper should NOT adhere to the double-blind review policy.  

  •         Each accepted paper is required at least a workshop registration regardless of the status of the registered author.  One of the authors (or a qualified substitute) must give a presentation of the paper at the workshop.
   Accepted Papers     
  • Selected papers will be included in LNCS/LNAI post Proceedings of PAKDD Workshops.
  • Selected papers will be invited for extension to be included in a special issue for BioData Mining with impact factor 1.76 and PubMed index (http://www.biodatamining.org/). Publication fee waiver prize will be given to two best papers based on review committee's recommendation.
    Selected papers can go either option listed above.

     Organizer
        Qian Zhu, PhD, Department of Health Sciences Research, Mayo Clinic College of Medicine

        Yuji Zhang, PhD, Department of Health Sciences Research, Mayo Clinic College of Medicine

        Hongfang Liu, PhD, Department of Health Sciences Research, Mayo Clinic College of Medicine

        Michael Lajiness, Eli&Lilly and Company