Special Track webpage: http://midas.ctb.upm.es/sdma/

Call for Papers


The growing availability and accessibility of key health-related data resources and the rapid proliferation of technological developments in data analytics is helping to extract the power of these datasets to improve diagnosis, shorten the time to market of drugs, help in early outbreak detection, improve education of healthcare professionals and reduce costs to name but a few.


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.


Technology in recent years has made it possible not only to get data from the healthcare environment (hospitals, health centres, laboratories, etc.). It also allows information to be obtained from society itself (sensors, monitoring, Internet of Things (IoT) devices, social networks, etc.). In particular, social environments are a new source of data that allows information to be obtained at all community levels.


Health environments would benefit directly through the acquisition and the analysis of the information generated in any kind of social environment such as social networks, forums, chats, social sensors, Internet of Things (IoT) devices, surveillance systems, virtual worlds, to name but a few. These environments provides an incredible and rich amount of information that could be analysed and applied to the benefit of public health allowing the quality of life of the population to be improved as well as reducing economic costs. Policymakers, researchers, health professionals and managers are still attempting, with no great success, to acquire health information upon which to base their decisions.


The topics to be covered include the design, development, evaluation or validation of computer-based medical systems or methods within the following (but not limited to) areas:

  • Challenges in social data analytics
    • data management
    • data curation
    • opinion mining and sentiment analysis
    • privacy-aware data mining algorithms
    • data quality and veracity
    • natural language processing and text-mining
    • semantics
    • trend discovery and analysis
    • graph mining and community detection
    • social sensors
    • IoT devices
  • Applications in social data analytics
    • epidemiological analysis
    • outbreak detection
    • human behaviour
    • medical skills and education
    • personalized medicine
    • diagnosis, prognosis and prognostics


Paper submission guidelines

Please follow the general conference paper submission guidelines that can be found here: call-for-papers


Important dates

Important dates can be found here: important-dates


Special Track Chairs

  • Alejandro Rodríguez-González, Universidad Politécnica de Madrid, SP
  • Athena Vakali, Aristotle University of Thessaloniki, GR
  • Miguel A. Mayer, Universitat Pompeu Fabra, SP
  • Takashi Okumura, National Institute of Public Health, JP
  • Ernestina Menasalvas-Ruiz,  Universidad Politécnica de Madrid, SP
  • Myra Spiliopoulou, Otto-von-Guericke University Magdeburg, DE


Special Track Programme Committee

  • Vicente Traver Salcedo, Universidad Politécnica de Valencia, SP
  • Marcos Martínez Romero, Stanford University, USA
  • Maria Herrero Zazo, Institute of Pharmaceutical Science, King's College London, UK
  • Jesualdo Tomas Fernández Breis, Universidad de Murcia, SP
  • Filipe Portela, University of Minho, PT
  • Gandhi Hernández Chan, Universidad Tecnológica Metropolitana, MX
  • Giner Alor Hernández, Instituto Tecnológico de Orizaba, MX
  • Eiji Aramaki, Nara Institute of Science and Technology, JP
  • Shoko Wakamiya, Nara Institute of Science and Technology, JP
  • Anastasia Krithara, National Center for Scientific Research (NCSR) “Demokritos”, GR
  • Juan Miguel Gómez Berbis, Universidad Carlos III de Madrid, SP
  • Myra Spiliopoulou, Otto-von-Guericke University Magdeburg, DE
  • Angel García Pedrero, Centre for Biomedical Technology (UPM), SP
  • Ingmar Weber, Qatar Computing Research Institute, QA


For special track related inquires please contact: Alejandro Rodríguez González (alejandro [dot] rg [at] upm [dot] es)


Download CFP in pdf format