Call for Papers

Download the Louhi2013 Call Flyer. 

Louhi2013 is calling for papers presenting

• original research, 
• case studies, 
• hardware and software demonstrations, or 
• work in progress in, or related to, the following areas:

1. Processing of eHealth documents, including, for example:

2. Intelligent re-use of clinical documentation, including, for example:

3. Experience reports and demonstrations from practical applications of:

We especially welcome papers that demonstrate the collaboration of academic, industrial, and governmental partners, emphasise multidisciplinary use of eHealth documents, or study the interplay between clinical professions, patient and provider, and different types of organisations.

We strongly encourage papers reporting on work for minor languages that shed light on solving problems common to many languages lacking in available lexical resources for text processing.

This year, our particular focus is on cross-language evaluation and work towards internationally applicable tools for eHealth-document analysis.

Submitted papers should describe original work. Simultaneous submission to other forums (e.g. other conferences with published proceedings) is not permitted. A significant overlap in contents with previously published work should be clearly indicated to the program committee.

Important Dates

Louhi2013:

Submission Criteria

• Submissions should be written in English, according to the Springer LNCS format.
• The maximum length should not exceed six pages, including figures, tables and references.
• The submissions should be in PDF format
• Louhi2013 will only accept electronic submissions via its Easy Chair submission system. Please indicate in the submission system whether it is a research paper, case study, hardware/software demonstration or work-in-progress description. Also indicate in the in the submission system whether the submission is related to the topic of 1. processing health documents, 2. intelligent re-use of clinical documentation or 3. practical application of text technology and data mining in clinical documentation systems.

IMPORTANT: Please remove all author information and acknowledgements from the submission and avoid extensive referring to own previous work in order to assure double-blind reviews.

Presentation of Accepted Papers

All submissions will be peer-reviewed by three program committee members. The review process is double-blind. The submissions will be judged on originality, relevance, technical quality and presentation.

At least one co-author of an accepted paper should be present at Louhi2013, and must register for the workshop. Based on the review feedback, the accepted papers will be presented by the authors either as oral presentations in a regular workshop session or printed posters in a poster session. An additional oral poster highlight session will be organised. Further guidelines for presenters will be provided via email after the acceptation notification.

All accepted abstracts will be published on the Workshop Proceedings webpage. Selected papers will be proposed for publication in the Artificial Intelligence in Medicine after their significant extension. This special issue will have its own review process and Louhi organisers will contact the authors of the selected papers directly.

Submission of Camera-Ready Papers

• Submissions should be written in English, according to the Springer LNCS format with thet footnote of The 4th International Louhi Workshop on Health Document Text Mining and Information Analysis (Louhi 2013), edited by Hanna Suominen

• The maximum length should not exceed six pages, including figures, tables and references.
• The submissions should be in PDF format
• All papers must be re-submitted as PDF documents by 15 December 2012 via the Easy Chair submission system. Please make sure you have indicated in the submission system whether it is a research paper, case study, hardware/software demonstration or work-in-progress description. Also make sure you have indicated in the in the submission system whether the submission is related to the topic of 1. processing health documents, 2. intelligent re-use of clinical documentation or 3. practical application of text technology and data mining in clinical documentation systems.
• It is the author's responsibility to ensure that these guidelines have been followed and all details are correct.
  

Further Information

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