Call for Papers

Special Issue on Social data analytics in medicine and healthcare

International Journal of Data Science and Analytics

http://www.personal.fi.upm.es/~alejandrorg/pubs/si/jdsa.html

Theme:

The growing availability and accessibility of diverse and relevant health-related data resources, and the rapid proliferation of technological developments in data analytics is contributing to make the most of extracting the power of these datasets, to improve diagnosis and decision making, shorten the development of new drugs from discovery to marketing approval, facilitate early outbreak detection, improve healthcare professionals training and reduce costs to name but a few examples.

Extracting the knowledge to make this a reality is still a daunting task: on the one hand, data sources are not integrated; they contain private information and are not structured. On the other hand, we still lack context- and privacy-aware algorithms to extract the knowledge after a proper curation and enrichment of the datasets.

In recent years technology has made it possible not only to get data from many healthcare settings (hospitals, primary care centers, laboratories, etc.), it also allows information to be obtained from the society itself (sensors, Internet of Things (IoT) devices, social networks, etc.). For instance, social media environments are a new source of data coming from all the community levels.

For this reason, the organization of the current special issue responds to the necessity in collecting the last efforts that have been made in these areas of research. The special issue aims to publish high-quality research papers focused on the analytics of social data related to healthcare as well as those studies and works that include the processes needed to perform such analytics. We also aim to receive review or survey papers in the topics covered by the special issue.

The topics to be covered include, but not limited to:

Important Dates:

Submission guideliness:

Before submission authors should carefully read over the Instructions for Authors, accessed at http://www.springer.com/computer/database+management+%26+information+retrieval/journal/41060. Prospective authors should submit an electronic copy of their complete manuscript through the editorial manager system available at https://www.editorialmanager.com/jdsa/default.aspx

Authors should remind to submitters to format their papers in terms of JDSA latex template (which can be found from instructions to authors)

This special issue was inspired by the IEEE Int. Symposium on Computer Based Medical Systems (CBMS) 2017 special track on "Social data and medical data analytics". Authors of accepted conference papers on the topic of this special issue are particularly encouraged to submit an extended version of their work.

For all submissions that emanated from previously published conference papers: at least 30% of new, unpublished content is expected, in the form of theoretical analysis, new design, new algorithms, experiments, evaluation.

If you have any inquiry, please contact with the lead guest editor:

Alejandro Rodríguez-González, Universidad Politécnica de Madrid. Centro de Tecnología Biomédica, alejandro [dot] rg [at] upm [dot] es

Guest editors: