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LUCT 2011 : ICML 2011 Workshop on Learning from Unstructured Clinical Text | |||||||||||||||
Link: https://sites.google.com/site/learnclinicalfreetext | |||||||||||||||
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Call For Papers | |||||||||||||||
ICML 2011 Workshop on Learning from Unstructured Clinical Text
CALL FOR PAPERS ICML 2011 Workshop on Learning from Unstructured Clinical Text https://sites.google.com/site/learnclinicalfreetext The rapid growth of information technology promises to change the practice of medicine as we know it. Large volumes of clinical data are now digitized as part of routine patient care, and clinical decisions are made more accurately and more efficiently than ever before with the growing prevalence of Electronic Medical Record (EMR) systems. Despite the increasing emphasis on collecting information in structured fields of EMRs, much of the key information needed for measuring and driving process efficiencies still resides in unstructured (free) text. This information often needs to be mined and extracted into a structured form. The purpose of this multi-disciplinary workshop is to bring together researchers from machine learning, computational linguistics, and medical informatics researchers who share an interest in problems and applications of learning from unstructured clinical text. The goal of this workshop will be to bridge the gap between the theory of machine learning, natural language processing, and the applications and needs of the healthcare community. Call for Papers The workshop seeks high quality, original and unpublished work on algorithms, theory and systems for learning from unstructured clinical data. Topics of Interest This workshop would like to encourage submissions on any of (but not limited to) the following topics: Applications * Information Extraction and Retrieval from Clinical Text * Question Answering from Clinical Text * Clinical Ontologies * Patient Identification with Unstructured Clinical Text * Patient risk assessment from Unstructured Clinical Text * Combining Phenotype and Genotype Data Algorithms/Theory * Learning from noisy text data * Learning from multiple annotators * Learning with data not missing at random * Active Learning to reduce expert annotation costs * Combining Unstructured and Structured Text for inference Procedure We call for paper contribution of up to 8 pages to the workshop using ICML style. The accepted papers will be available for downloading from the workshop website's Proceedings page. Accepted papers will be either presented as a talk or poster. Papers should be emailed to the organizers at learn.clinical.freetext.icml11@gmail.com. Please indicate your preference for oral or poster presentation. Publication of Papers Accepted papers will be either presented as a talk or poster. They will also be available in an online proceedings that will be made available prior to the workshop. Extended versions of some accepted papers will also be invited for inclusion in an edited book on the same topic as the workshop. Important Dates Please remember the following dates in relation to paper presentations. April 29 - Deadline of submission May 20 - Notification of Acceptance June 15 - Camera Ready Submission July 2 - Workshop Proper Read more: http://aclweb.org/portal/content/icml-2011-workshop-learning-unstructured-clinical-text |
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