Call for Papers
The workshop seeks high quality, original and unpublished work on algorithms, theory and systems for learning from clinical data.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 Data
Question Answering from Clinical Data
Clinical Ontologies
Patient Identification
Patient risk assessment
Combining Phenotype and Genotype Data
Algorithms/Theory
Learning from noisy data
Learning from multiple annotators
Learning with data not missing at random
Active Learning to reduce expert annotation costs
Combining Unstructured and Structured Data 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 ffarooq@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.
May 7 - Deadline of submission
May 21 - Notification of Acceptance
June 15 - Camera Ready Submission
July 1 - Workshop Proper