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

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.

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

Papers advancing machine learning techniques, including in the following ways, that are shown to be especially beneficial for some medical applications are welcome.
Also encouraged are the papers that bring-up or address issues in applying machine learning to medical settings or demonstrate their benefits and pitfalls.
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

Special Session Organizer

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

Program Committee