Workshop on Mining Online Health Reports at WSDM 2017
10th February 2017
Cambridge, UK

Update: All accepted papers will be published in the online workshop 
proceedings and authors will be asked to submit copies to the arXiv e-print 
archive. We are pleased to announce that authors of selected accepted papers 
will be invited to submit an extended version for publication in a Special 
Issue of the Journal of Medical Internet Research (JMIR).  For further 
information please see below.

The Workshop on Mining Online Health Reports aims to bring together a 
cross-disciplinary community of researchers interested in automatically 
analysing consumer-generated data for health applications.  Online health 
information is widely published by individuals in social media, chat rooms and 
discussion boards. At the same time search query logs and various forms of text 
messaging contain a vast amount of textual information that can be directly or 
indirectly linked to health conditions. This informal evidence about our 
individual health, attitudes and behaviours has the potential to be a valuable 
source for health applications ranging from real-time disease monitoring, to 
prioritising victim responses during disasters and detecting novel applications 
for drugs. Informal patient data on the Web is increasing, accessible, low 
cost, real-time and seems likely to cover a significant proportion of the 
population. Coupled with wearable body sensor data and the wealth of structur!
 ed clinical data, it has the potential to offer insights leading to new lines 
of clinical investigation. However, in order to understand and integrate this 
data, researchers in academia and industry must grapple with theoretical, 
practical and ethical challenges that require immediate attention.

This one day workshop is structured around four main research questions:
- How can current sources of online health reports be characterised and what 
are the strengths and weaknesses of each?
- How are online health reports being processed using NLP/IR/ML technologies 
and/or integrated into traditional forms of health data such as biomedical 
databases and patient records?
- How is online health data being used in real-world case studies and field 
- What are the ethical/legal issues surrounding the exploitation of personal 
health reports?

We are inviting new and original work on a range of topics related to the 
automatic processing of online health reports,  including, but not limited to:
- Semantics and NLP/IR/ML models for online health data
- Novel adaptations of methods to online health data
- Representation and integration of online health data
- Quantitative evaluation using online health data
- Open data sets related to online health
- Social network analysis / community identification for health applications
- Ethical/legal issues for online health data
- Reliability/trust issues with online health data
- Anonymisation and privacy preservation methods
- Online health data applications
- Theoretical underpinnings of online health techniques
- Case studies and qualitative evaluations

We warmly welcome: (a) Papers emphasizing novel algorithmic approaches to 
online health data; (b) Application-oriented papers that make innovative 
technical contributions to research; (c) Data papers sharing information about 
the construction and availability of novel data sets (please include a sample 
of the data and details about how the data set will be made available); (d) 
Case study papers describing the application of NLP/IR/ML to real world online 
health data processing with lessons learnt; (e) Papers that highlight any 
aspect of ethics for NLP processing of online health data, e.g. anonymization, 
evaluation issues around NLP applications, publication of data, use of NLP 
tools on sensitive data.

Important Dates

- Submission Deadline: November 11, 2016
- Notification to Authors: December 5, 2016
- Camera-ready PDFs due: January 27, 2017
- Workshop date: February 10, 2017
*** All deadlines are 11:59pm, anywhere in the world (Alofi time).

Submission Instructions

Submissions to the workshop will be subject to a double-blind peer review 
process, with each submission reviewed by at least two program committee 
members in addition to an organiser.   Accepted papers will be given either an 
oral or poster presentation slot, and published online in the workshop 

Papers must be submitted in PDF format according to ACM guidelines and style 
files to fit within 8 pages (long papers) or 4 pages (short papers) including 
any diagrams, references and appendices. PDF files must have all non-standard 
fonts embedded. Submissions must be self-contained and in English. After 
uploading your submission, please check the copy stored on the site.  
Submissions that do not follow these guidelines, or do not view or print 
properly, may be rejected without review. The presentation format (oral or 
poster) will be decided by the program committee based on the nature, rather 
than the quality, of the work. There will be no distinction in the proceedings 
between papers that are presented orally or as posters.

PDF files submitted to the Workshop must be anonymised: The submitted document 
should not include author or affiliation information, and should not include 
citations or discussion of related work that would make the authorship obvious.

ACM style files (LaTeX and Word) are available 
Submissions should be made using the EasyChair online submission system 


All accepted papers will be published in the online workshop proceedings. 
Authors are requested to submit copies to the arXiv e-print archive to ensure 
indexing and availability which will be linked from the workshop page along 
with copies of slides.

Journal Publication

In addition, we are pleased to announce that authors of selected accepted 
papers will be invited to submit an extended version for publication in a 
Special Issue (e-collection) of JMIR Publications, which may comprise of papers 
published in the Journal of Medical Internet Research 
(JMIR: or another JMIR sister journal (depending on the 
focus and impact of the paper).  All manuscripts will undergo a further round 
of peer review consistent with the editorial criteria for JMIR. Articles in the 
Special Issue will receive a 20% discount on the regular Article Publication 
Charge. APCs can be found 
here: Articles must be 
submitted at  to the journal section “Workshop on 
Mining Online Health Reports” to qualify for the discount.


- Nigel Collier (University of Cambridge)
- Nut Limsopatham (University of Cambridge)
- Ingemar J. Cox (University College London)
- Vasileios Lampos (University College London)
- Aron Culotta (Illinois Institute of Technology)
- Mike Conway (University of Utah)

Program Committee

- Eiji Aramaki (Nara Institute of Science and Technology)
- Matt-Mouley Bouamrane (University of Strathclyde)
- David Buckeridge (McGill University)
- Trevor Cohn (University of Melbourne)
- Glen Coppersmith (Johns Hopkins University and Qntfy)
- Courtney Corley (Pacific Northwest National Laboratory)
- Karen Fort (Paris-Sorbonne University)
- Gareth Jones (Dublin City University)
- Taha Kass-Hout (US Food and Drug Administration)
- Patty Kostkova (University College London)
- Gregoire Lurton (University of Washington)
- Iadh Ounis (University of Glasgow)
- Michael J. Paul (University of Colorado, Boulder)
- Richard Pebody (Public Health England)
- Angus Roberts (University of Sheffield)
- Abeed Sarker (University of Pennsylvania)
- Elad Yom-Tov (Microsoft Research)

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