MLCD 2012 - ICML Workshop on Machine Learning from Clinical Data

ICML Workshop on Machine Learning
for Clinical Data Analysis
Clinical and health-care applications have been and continue to be the source of inspiration for many areas of artificial intelligence research. Many advances in various sub-specialties of AI have been inspired by challenges posed by medical problems. A new challenge for AI in general, but machine learning in particular, arises from the wealth and variety of data generated in modern medical and health-care settings. Extensive electronic medical records---with thousands of fields recording patient conditions, diagnostic tests, treatments, outcomes, and so on---provide an unprecedented source of information that can provide clues leading to potential improvements in disease detection, chronic disease management, design of clinical trials, and other aspects of health-care.
The purpose of this workshop is to bring together machine learning and informatics researchers interested in problems and applications in the clinical domain, with the goal of exchanging ideas and perspectives, identifying research bottlenecks and medical applications, bridging the gap between the theory of machine learning, natural language processing, and the needs of the healthcare community, and, in general, raising awareness of potential healthcare applications in the machine learning community.
The workshop program will consists of presentations by invited speakers and authors of the papers and extended abstracts submitted and accepted to the workshop.