Call for Paper - Vol 14, No 1 - 2018
Special Issue on NEW TRENDS, CHALLENGES AND PERSPECTIVES ON HEALTHCARE COGNITIVE COMPUTING: FROM INFORMATION EXTRACTION TO HEALTHCARE ANALYTICS
Deadline November 15th, 2017

CALL FOR PAPER

Vol. 14, n.1, 2018

NEW TRENDS, CHALLENGES AND PERSPECTIVES ON HEALTHCARE COGNITIVE COMPUTING: FROM INFORMATION EXTRACTION TO HEALTHCARE ANALYTICS

Guest Editors

Mauro Coccoli, University of Genoa, Italy

Paolo Maresca, Federico II University of Naples, Italy 
Gabriella Tognola,
Italian National Research Council, Italy 
 

Important dates
Initial manuscripts due November, 15th, 2017
Notification and Review Comments December, 15th, 2017
Camera Ready manuscript due January, 10th, 2018
Special Issue published January, 2018 

Cognitive computing has been receiving an ever-increasing interest in healthcare, both for research purposes and clinical applications. This growing importance of cognitive computing and related technologies, such as information extraction, natural language processing, and analytics for healthcare applications is due to the rapid growth of available health data (also as open data), the demand for personalized health solutions and the need to implement healthcare systems that are efficient and more focused on reducing their expenditures.

Last, but not of less importance, is the fact that the amount of healthcare data now available and potentially useful to the care team reached 150 Exabytes worldwide and that most of this huge volume of data, about 80%, is in an unstructured form, being thus invisible to systems. It is clear that cognitive computing and data analytics are the two key factors we have for make use – at least partially – of such a big volume of data.

Healthcare will have a big impact on industry and research. However, this field, which seems to be a new era for our society, requires many scientific endeavours. Just to name a few, you need to create a hybrid and secure cloud to guarantee the security and confidentiality of health data. Beside the cloud, you also need to consider novel architectures and data platforms that shall be different from the existing ones, because 90% of health and biomedical data are images and also because 80% of health data in the world is not available on the Web.

This special issue wants to review state-of-the-art of issues and solutions of cognitive computing, focusing also on the current challenges and perspectives. Submissions should be original and unpublished, and can address both methodological aspects and real-world, clinical applications.

Please note that the focus of this Special issue is on applications in the healthcare domain.


Topics of interest include but are not limited to:
  • Natural language processing for healthcare applications
  • Cognitive computing for information extraction in healthcare applications
  • Semantic analysis in medicine
  • Sentiment analysis
  • Data analytics in healthcare
  • Machine learning and cognitive computing
  • New data architecture for healthcare
  • Data platform for healthcare
  • Hybrid Cloud for healthcare

All submitted papers will be subject to a selection mechanism based on a double blind review.

 

Language: all contributions/papers must be written in English
Author Guidelines: http://www.je-lks.org/ojs/index.php/Je-LKS_EN/about/submissions

The Journal of e-Learning and Knowledge Society (Je-LKS) (eISSN 1971-8829) is published by the Italian Society of e-Learning since 2005 and in 2016 has published its thirteenth volume, consisting of three. Je-LKS is indexed, among other things, on on AACE-EdITLib, Web of Science Content Expansion (Thompson Reuters) Scopus, Elsevier, DOAJ, IET Inspec, CiteFactor and in 2016 reached a h-index of 17 (Publish or Perish based on Google Scholar database). ANVUR Ranking: A-Class for Sector 11-D1 and 11-D2