SMM4H: 2nd Social Media Mining for Health Applications Workshop & Shared Task at AMIA 2017
Location: Washington D.C., USA
Date: November 4, 2017
First call for papers
First call for shared task participation
*Apologies if you received multiple copies of this CFP*
CFP: <https://easychair.org/cfp/smmhawst17> https://easychair.org/cfp/smmhawst17
Shared task details: <https://healthlanguageprocessing.org/sharedtask2/> https://healthlanguageprocessing.org/sharedtask2/
This workshop and shared task follows the successful implementation of Social Media Mining for Public Health Monitoring and Surveillance Session ( <https://psb.stanford.edu/previous/psb16/callfor/papers/cfp-smm/> https://psb.stanford.edu/previous/psb16/callfor/papers/cfp-smm/) and the 1st Social Media Mining Shared Task Workshop at the Pacific Symposium in Biocomputing in 2016.
Our aims for the second execution of this research forum and shared task workshop are to:
* bring together experts from related domains to better understand and explore how the knowledge contained within the social media realm can be best utilized for health-related tasks, * release annotated data to the biomedical informatics research community for the development of data-centric systems, * enable the direct comparison of systems on this domain of health data, and * provide a platform for researchers actively working on social media health-related data and those interested to work in this domain in the future to collaborate and discuss ideas.
The workshop will include two components-a standard workshop and a shared task:
1. Workshop/research forum component: For this component, we invite long and short paper submissions. Please see submission guidelines below. Topics of interest include, but are not limited to:
* Methods for the automatic detection and extraction of health-related concept mentions in social media * Mapping of health-related mentions in social media to standardized vocabularies * Social-media-based interventions for health monitoring and surveillance * Deriving prescription drug use and off-label use trends from social media * Visualization of social media health data * Information retrieval methods for obtaining relevant social media data * Social media in precision medicine * Infectious disease monitoring using social media * Mining health-related discussions in social media * Drug abuse and alcoholism incidence monitoring and interventions through social media * Prediction/detection of abusive behavior using social media postings * Disease incidence studies using social media * Sentinel event detection using social media * Search, collection, and analysis techniques for public health informatics using social media * NLP methods for health-related consumer-generated (colloquial) text * Classifying health-related messages in social media * Automatic analysis of social media messages for disease surveillance and patient education * Methods for validation of social-media derived hypothesis and datasets.
2. Shared task component: This year's shared task will have 3 subtasks focusing on social media text classification and concept normalization. Further details about the shared task can be found at the <http://healthlanguageprocessing.org/sharedtask2> Shared Task Website. Best performing teams will be invited to submit system description papers at the workshop.
Submission deadline: August 30, 2017
Notification of acceptance: September 21, 2017
Camera-ready version due: October 4, 2017
Workshop date: Nov 4 (8.30AM to 4.30PM), 2017
*These dates are for submissions independent of the shared task only. The shared tasks will follow a different schedule, as explained in the <http://healthlanguageprocessing.org/sharedtask2> shared task website
All papers must be original and not simultaneously submitted to another journal or conference. All papers focusing on natural language processing of social media texts for health-related tasks are welcome.
* Full papers must have a maximum length of 10 pages including references. * Short Papers may have a maximum length of 5 pages including references. * System Descriptions (shared task participants only) may have a maximum of 4 pages including references. Accepted system descriptions will also be included in the workshop proceedings.
Please follow the standard submission guidelines of the AMIA annual symposium available here: <https://www.amia.org/amia2017/call-participation> https://www.amia.org/amia2017/call-participation
All submissions must be through Easychair. Submission link: <https://easychair.org/conferences/?conf=smmhawst17> https://easychair.org/conferences/?conf=smmhawst17
* Abeed Sarker, University of Pennsylvania (abeed at upenn.edu <mailto:abeed at upenn.edu> ) * Graciela Gonzalez, University of Pennsylvania * Michael J Paul, University of Colorado-Boulder * Azadeh Nikfarjam, Stanford University * Nigel Collier, University of Cambridge * Cecile Paris, CSIRO, Australia * Pierre Zweigenbaum, LIMSI, France
All questions about submissions should be emailed to Abeed Sarker (abeed at upenn.edu <mailto:abeed at upenn.edu> )
Abeed Sarker, Ph.D. Research Scientist Department of Biostatistics, Epidemiology and Informatics The Perelman School of Medicine University of Pennsylvania
Level 4 Blockley Hall 423 Guardian Drive Philadelphia, PA 19104
Email: abeed at upenn.edu Website (group): <https://healthlanguageprocessing.org/> https://healthlanguageprocessing.org/
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