KEDDH10 The First Workshop on Knowledge Engineering, Discovery and Dissemination in Health
News | Introduction | Topics | Submission | Important Dates | Schedule | Organizers | Committee | Contact

Welcome to:

The First Workshop on Knowledge Engineering, Discovery and Dissemination in Health (KEDDH10)

Held in conjunction with The IEEE International Conference on Bioinformatics & Biomedicine (BIBM 2010)
18-21 Dec 2010, Hong Kong, China.


Wed Dec 1 16:02:23 CDT 2010
  • The workshop schedule has been posted. Note that the workshop will take place in room LT5, in the Teaching Building at Chak Cheung Street, The Chinese University of Hong Kong.

  • Tue Nov 2 11:17:31 CDT 2010
  • The workshop paper submission deadline is November 10th. The formating instructions are specified in the camera-ready submisison site. You also need to register for the conference in order to have your workshop paper published. The registration deadline is November 10th, 2010, after November 10th, the registration fee will be increased. There is a single registraion package that registers authors for the conference and workshop. The online registration website can be found at here.

  • Mon Oct 25 14:08:32 CDT 2010
  • The date for final versions of accepted papers has been extended to November 10th. This is also the last day to register for the conference and workshop.

  • Wed Oct 20 11:33:11 CDT 2010
  • The submission deadline has now passed. Notifications for all submitted papers will be sent out Sunday October 31st.

  • Sun Oct 10 21:59:43 CDT 2010
  • For submissions made after October 10th, please email your submission directly to Dr. Michalowski (email address below)

  • Workshop Introduction

    There is a widespread view in the health and biomedical fields that work effectiveness is severely impaired by information overload. However, the enormous amount of digital data accompanied by recent advances in information systems provides opportunities for health, bio, computer, and information scientists to develop methodologies for optimizing delivery of health care and improving efficiency, quality and safety by providing better support for clinical decision making, reducing medical errors and costs. Furthermore, the increase in digital health care data facilitates the automation of data-driven and evidence-based medicine.

    The purpose of this one-day workshop is to showcase research that aims to overcome health care information overload and to support clinicians by making use of rich digital health care data to develop methods of engineering, discovering and disseminating pertinent clinical knowledge. The workshop will focus on both practical and theoretical applications of health research, and invites submissions for peer review from researchers from computer science, information science, operations research and health and biomedical informatics.

    We hope to provide a vibrant forum and foster rich interactive discussions by accepting both technical and position papers on relevant research topics for presentation, by inviting field experts to present and discuss their views on opportunities and challenges in this area of research, and by hosting a discussion panel on the topic of "Opportunities and Challenges for Health Informatics Implementation". In organizing this workshop our aim is to develop and foster opportunities for collaborative research within a multi-discipline research community that offers expertise in medicine, bioinformatics, operations research, computer and information science.

    The workshop proceedings will be published by the IEEE Computer Society Press and will be available on the day of the workshop. One author from each accepted paper will be expected to attend and present their work at the workshop. Additionally, selected papers (after expansion and revision), will be invited for possible publication in the Health Informatics Journal and the Journal of Computer Methods and Programs in Biomedicine.

    Research topics included in the workshop

  • Health information modeling and sharing including ontologies.
  • Semantic web and health care linguistic resources.
  • Clinical practice guidelines.
  • Health information retrieval and extraction.
  • Performance assessment of health care learning models .
  • Automated medical decision making.
  • Mobile clinical applications.
  • Clinical decision support systems.
  • Evidence-based medicine using IT.
  • Personalized health care.
  • Health-based teaching tools.
  • Electronic Health Records.

  • Submission links

  • Workshop Paper Submission Website (with formatting instructions -- maximum 8 pages)
  • For submissions made after October 10th, please email your submission directly to Dr. Michalowski (email address below)

  • Important Dates

  • Workshop papers submission: October 15, 2010
  • Notification of acceptance: October 31, 2010
  • Camera-ready version of accepted papers: November 10, 2010
  • Workshop: December 18-21, 2010 (Full day workshop, exact date TBD)

  • Workshop Schedule


    10:35 - 12:20Session 1: Learning
    10:35 - 10:40Chair: Dympna O'Sullivan (opening)
    10:40 - 11:00A Time-Series Approach for Shock Outcome Prediction Using Machine Learning
    11:00 - 11:20Machine Learning of Patient Similarity: A Case Study on Predicting Survival in Cancer Patient after Locoregional Chemotherapy
    11:20 - 11:40A Unified Signal Processing and Machine Learning Method for Detection of Abnormal Heart Beats Using Electrocardiogram
    11:40 - 12:00Monitoring and Analysis of Sleep Pattern for People with Early Dementia
    12:00 - 12:15Predicting Pelvic Trauma Severity Using Features Extracted from Records and X-Ray and CT Images

    13:40 - 14:15Session 2: Panel Discussion
    Chairs: Dympna O'Sullivan, Wojtek Michalowski

    Title: Challenges and Opportunities in Health Informatics - Learning, Support and Engineering

    14:20 - 16:05Session 3: Support
    14:20 - 14:25Chair: Wojtek Michalowski
    14:25 - 14:45TissueWikiMobile: an Integrative Protein Expression Image Browser for Pathological Knowledge Sharing and Annotation on a Mobile Device
    14:45 - 15:05A Multi-Agent Resource Allocation Framework for Patient Journey Shortening
    15:05 - 15:25Representing clinical documents to support automatic retrieval of evidence from The Cochrane Library
    15:25 - 15:45u-Healthcare System Protecting Privacy based on Cloaker
    15:45 - 16:00Impedance Plethysmography on the Arms: Respiration Monitoring

    16:25 - 18:10Session 4: Engineering
    16:25 - 16:30Chair: Dympna O'Sullivan
    16:30 - 16:50Ontology-Based Knowledge Acquisition for Neuromotor Functional Recovery in Stroke
    16:50 - 17:10Semantic Characterization of Hypertrophic Cardiomyopathy Disease
    17:10 - 17:30Identifying Inconsistencies in Multiple Clinical Practice Guidelines for a Patient with Co-morbidity
    17:30 - 17:50Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
    17:50 - 18:05Evaluation of Drowsiness during Driving based on Heart Rate Analysis - a driving simulation study

    Program Chairs or Co-Chairs

    William Klement, University of Ottawa, Ottawa, Canada
    Dr. Klement is a post-doctorate researcher with the Mobile Emergency Triage research group at the University of Ottawa, Canada. With a background in machine learning, his research has a particular focus on medical decision making applications. He aims to develop learning models for clinical decision-making domains by demonstrating their potentials and benefits to the medical community. In recent years, he worked on modeling and assessing the performance of learning methods in several clinical domains in the emergency department. Dr. Klement has co-organized a series of relevant workshops on evaluation methods for machine learning hosted at ICML and AAAI conferences.

    Martin Michalowski, Adventium Labs, Minnesota, USA
    Dr. Martin Michalowski is a research scientist at Adventium Labs. His research interests lie in information integration, record linkage, heuristic-based planning, constraint satisfaction problems, and problem modeling, including the development of an abstraction-based approach to learning as applied to the game of Go. He also co-founded a company in the health care domain that strives to bridge the knowledge gap between the general populous and premium health information.

    Dympna O’Sullivan, Aston University, Birmingham, UK
    Dr. Dympna O’Sullivan is a lecturer in Computer Science at Aston University, Birmingham, UK. Her research is centred on health informatics, in particular it focuses on involves developing effective methodologies for combating clinical information overload. She has been involved the development of a number of successful clinical decision support systems which have drawn on applied fields including information retrieval, ontological engineering and machine learning.

    Contact Information

  • William Klement
    SITE, University of Ottawa
    800 King Edward Ave.
    P.O. Box 450, Stn A
    Ottawa, Ontario, Canada, K1N 6N5
    Fax: (613) 562-5664

  • Martin Michlowski

  • Dympna O’Sullivan

  • Program Committee Members

    Naveen Ashish, University of California-Irvine, Irvine CA, USA
    Chris Buckingham, Aston University, Birmingham, UK
    Julie Doyle, University College Dublin, Dublin, Ireland
    Peter Flach, University of Bristol, Bristol, UK
    Ross Foley, University College Dublin, Dublin, Ireland
    Daniel Goldberg, University of Southern California, Los Angeles CA, USA
    Nathalie Japkowicz, University of Ottawa, Ottawa ON, Canada
    Marie Johnson, University of Minnesota-Twin Cities, Minneapolis MN, USA
    Tom Kelsey, University of St Andrews, St. Andrews, Scotland
    Wesley Kerr, University of Arizona, Tucson AZ, USA
    Stan Matwin, University of Ottawa, Ottawa ON, Canada
    Wojtek Michalowski, University of Ottawa, Ottawa ON, Canada
    Matthew Michelson, Fetch Technologies, Los Angeles CA, USA
    Neil Moore, University of St Andrews, St. Andrews, Scotland
    Anon Plangprasopchok, University of Southern California, Los Angeles CA, USA
    Rattapoom Tuchinda, NECTEC, Bangkok, Thailand
    Vedat Verter, McGill University, Montreal PQ, Canada
    Szymon Wilk, Poznan University of Technology, Poznan, Poland
    David Wilson, University of North Carolina at Charlotte, Charlotte NC, USA
    Yao-Yi Chiang, University of Southern California, Los Angeles CA, USA