Third Workshop on Data Mining for Healthcare Management

Held in conjunction with
The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 29th - Jun 01st - Kuala Lumpur, Malaysia

Workshop Description
Data Mining for Healthcare Management (DMHM) has been instrumental in detecting patterns of diagnosis, decisions and treatments in healthcare. Data mining has aided in several aspects of healthcare management including disease diagnosis, decision-making for treatments, medical fraud prevention and detection, fault detection of medical devices, healthcare quality improvement strategies and privacy. Data Mining for Healthcare Management (DMHM) is an emerging field where researchers from both academia and industry have recognized the potential of its impact on improved healthcare by discovering patterns and trends in large amounts of complex data generated by healthcare transactions. Data mining also helps to discover interesting business insights to help make business decisions that can influence cost efficiency and yet maintain a high quality of care. Healthcare management has received great deal of attention in recent times and application of data mining techniques to this field is gaining increasing popularity. This workshop will provide a common platform for discussion of challenging issues and potential techniques in this emergence field of data mining for health care management. It will also serve as a critical and essential forum for integrating various research challenges in this domain and promote collaboration among researchers from academia and industry to enhance the state-of-art and help define a clear path for future research in this emerging area. Data Mining for Healthcare Management (DMHM) workshop will facilitate collaboration among different disciplines including medicine, clinical studies, embedded systems, hardware and computer science.
Workshop Scope
DMHM 2012 encourages the following topics (but is not limited to) related to application of data mining techniques to healthcare:
  • Theoretical foundations in Data Mining
  • Data models for healthcare management
  • Patient management
  • Medical decision making
  • Medical diagnosis
  • Evidence based medicinal decisions
  • Medical Insurance Fraud Detection
  • Patient Flow Models in Hospitals
  • Clinical data analysis
  • Cloud-computing models and challenges for healthcare.
  • Privacy and security in healthcare.
  • Improving Quality of products and services
  • Data collection and integration techniques
  • Data cleaning and transformation
  • Knowledge based medical recommendation models
  • Information visualization of medical data.
  • Enhancing quality of tools available to healthcare providers.
  • Medical device fault detection and prevention.
  • Reliability of medical devices.
  • Pattern recognition in medical images and data.
  • Important Dates
    • Paper Submission Deadline: 13th January 2012
    • Author Notification: 10th February, 2012 (Friday)
    • Camera-Ready Deadline: 24th February, 2012 (Friday).
    All papers must be submitted electronically using EasyChair Website (will be st up soon) for the workshop in PDF format only. Submitting a paper to the workshop means that if the paper is accepted, at least one author should attend the workshop to present the paper. Attendees are required to register at PAKDD 2012 website.

    We are currently negotiating with Springer-Verlag to include some outstanding papers in the LNCS/LNAI series. We will keep you posted on the same.

    Workshop Organization Chairs
    Prasanna Desikan
    Sr. Research Scientist
    Center for Healthcare Innovation
    Allina Hospitals and Clinics

    Kuo-Wei Hsu
    Assistant Professor
    Department of Computer Science
    National Chengchi University

    Jaideep Srivastava
    Computer Science & Engineering
    University of Minnesota

    Ee-Peng Lim
    School of Information Systems
    Singapore Management University

    For any further questions please contact Prasanna at prasanna [at] gmail [dot] com