Machine Learning in Medicine

Special Session on
Machine Learning in Medicine
The Tenth International Conference on Machine Learning and Applications (ICMLA 2011)
December 18-21, 2011 Honolulu, Hawaii, USA

AIM AND SCOPE

This special session will concentrate on machine learning applications in medicine. Medicine is increasingly becoming a data-rich quantitative field because of the electronic data capturing methods and the availability of various forms of medical data in electronic form. The availability of medical data and the difficult nature of medical tasks have made it very desirable to employ machine learning methods in medicine. The goal of this special session is to bring into focus and foster research that shows advancement in performing medical tasks by using machine learning methods as well as research that brings-up or addresses issues in applying machine learning to medical settings, for example, issues such as human interpretability, incorporating expert knowledge, limited availability of data and unbalanced data.


TOPICS
Research papers are invited that show application of machine learning methods in medical areas, including but not limited to:

  • Medical diagnosis
  • Deciding drugs and treatments
  • Predicting patient response and outcomes
  • Clinical decision support systems
  • Clinical data mining
  • Classifying patient records and reports
  • Analyzing patient records and reports

Papers advancing machine learning techniques, including in the following ways, that are shown to be especially beneficial for some medical applications are welcome.

  • Learning under limited supervision
  • Human interpretability
  • Incorporating expert knowledge into learning
  • Learning with unbalanced data
  • Learning algorithms
  • Feature selection

Also encouraged are the papers that bring-up or address issues in applying machine learning to medical settings or demonstrate their benefits and pitfalls.

IMPORTANT DATES

  • Paper Submission Deadline:                    July 25, 2011, 11:59 PM PDT (-0700)
  • Notification of acceptance:                       September 9, 2011
  • Camera-ready papers & Pre-registration:   October 7, 2011
  • The ICMLA Conference:                           December 18-21, 2011

The special session will be held as a part of the ICMLA’11 conference. The authors would submit papers electronically through the main conference submission website http://www.icmla-conference.org/icmla11. Papers must correspond to the requirements detailed in the instructions to authors. Accepted papers must be presented by one of the authors in order to be published in the conference proceedings.

If you have any questions, do not hesitate to direct them to: katerj@uwm.edu

Conference Program
December 19th, 10:40 – 12:20
Honolulu Suite 3– Special Session 7
See the entire conferecne program.

Accepted Papers
Automatic Detection of Excessive Glycemic Variability for Diabetes Management
Matthew Wiley, Razvan Bunescu, Cindy Marling, Jay Shubrook, Frank Schwartz, Ohio University

Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation
Dmitriy Zinovev, Jacob Furst, Daniela Raicu, DePaul University

Rule-based Prediction of Medical Claims’ Payments: A Method and Initial Application to Medicaid Data
Janusz Wojtusiak, Che Ngufor, John Shiver, Ronald Ewald, George Mason University

Towards a Decision Support System for Timely Hospital Discharge
Rodrigo Vivanco, Dan Roberts, University of Manitoba

Classification of Patients Using Novel Multivariate Time Series Representations of Physiological Data
Patricia Ordonez, UMBC; Tom Armstrong, Wheaton College; Tim Oates, University of Maryland Baltimore County; Jim Fackler, Johns Hopkins School of Medicine

Special Session Organizer
Rohit Kate, University of Wisconsin-Milwaukee, USA (katerj@uwm.edu)

Program Committee

  • Anna Buczak, Johns Hopkins University, USA
  • Arjen Hommersom, Radboud University Nijmegen, Netherlands
  • Matjaz Kukar, University of Ljubljana, Slovenia
  • Nada Lavrac, Jozef Stefan Institute, Slovenia
  • Peter Lucas, Radboud University Nijmegen, Netherlands
  • Michael Madden, National University of Ireland, Galway, Ireland
  • Niels Peek, University of Amsterdam, Netherlands
  • Marina Velikova, Radboud University Nijmegen, Netherlands
  • Staal A Vinterbo, University of California, San Diego, USA
  • Shyam Visweswaran, University of Pittsburgh, USA