- 09 May 2011:
Workshop will have an Invited Talk. Abstract of the talk has been posted here
Title: Predictive Modeling for Care Management: Impact on Outcomes, Costs and
Presenter Bio: Dr. Vipin Gopal is the Director of Clinical Analytics at Humana, a Fortune
100 company. In this role,
Dr. Gopal is
responsible for the organization that develops and applies advanced analytics that drives Humana.s clinical strategy,
programs and quality. He is an expert in developing differentiating analytic competencies, and has previously led analytic
teams in diverse companies ranging from industrial conglomerates to healthcare. Dr. Gopal obtained his Ph.D. from Carnegie
Mellon University and B.Tech. from Indian Institute of Technology, Bombay, both in Engineering. He has over 20 publications
and has 5 U.S. patents awarded/pending. Dr Gopal is a Senior Member of American Institute of Chemical Engineers (AIChE) and
IEEE, has served on the organizing/advisory committees of many international conferences and was previously Associate Editor
of IEEE Transactions on Control Systems Technology. Most recently, Dr. Gopal was the Chairperson of the World Congress
Leadership Summit on Predictive Analytics held at Boston in October 2010. He is also active in the community, and has
previously served as the President of India Association of Minnesota, the umbrella organization of about 20,000 Asian Indians
in the State of Minnesota.
- 07 May 2011:
Workshop Program has been posted
- 11 Feb 2011:
Accepted Papers have been posted.
- 27 Dec 2010:
Paper Submission Deadline: Monday, 17 January, 2011 ( to encourage the authors of
papers that are not accepted in the main PAKDD conference to submit their
papers to PAKDD workshops.)
- 09 Dec 2010:
Paper Submission Deadline: Monday, 20 December, 2010
- 04 Oct 2010:
chair website for workshop is now available and open for submissions.
- 29 Sep 2010:
Paper Submission Deadline: 10 December, 2010
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.
DMHM 2011 encourages the following topics (but is not limited to) related
application of data mining techniques to healthcare:
Theoretical foundations in Data Mining
Data models for healthcare management
Medical decision making
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.
- Paper Submission Deadline: 10 December, 2010
- Author Notification: 21 January, 2011 (Friday)
- Camera-Ready Deadline: 18 February, 2011 (Friday).
All papers must be submitted electronically using
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
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 paper submission deadline: 10
Workshop Organization Chairs
Dr. Prasanna Desikan
Center for Healthcare Innovation
Allina Hospitals and Clinics
Prof. Jaideep Srivastava
Computer Science & Engineering
University of Minnesota
Prof. Ee-Peng Lim
School of Information Systems
Singapore Management University
For any further questions please contact Prasanna at prasanna
[at] gmail [dot] com