ESAS 2019 - 14th International Workshop on e-Health Systems and Web Technologies

E-Health systems play a significant role in the well-being of individuals, be it as medical solutions or for healthcare towards everyday well-being of individuals. The rapid growth of facilities and technologies in medical fields has generated new opportunities for emerging application improvement. New models and methods continue to be developed to produce safer healthcare environments. Still, huge challenges remain to be resolved in order to develop consistent, suitable, safe, flexible, and power-efficient systems fit for medical needs. In unison with the main conference, the main theme of ESAS 2019 will be applying big data, Web technologies, linked open data and machine learning in software engineering towards “Data-Driven Intelligence for a Smarter World.”
ESAS 2019 fosters the following complementary objectives:
Inquiring into the theory and practice of engineering e-health systems, especially methods, means, and best cases;
Exploring into unifying software engineering methodologies employed in implementing e-health applications across domains also preserving security and privacy of patient health records; and,
Deploying new technologies in big data analytics, knowledge-based expert systems, machine learning, linked open data and Web technologies towards affecting e-health/m-health systems especially for distributed healthcare for all.
Scope of the Workshop
Web technologies render dynamic, heterogeneous, distributed and shared content equally accessible to human reader and software agents. Distributed agents functioning autonomously can utilize Web content to gather and aggregate knowledge for reasoning and inferring new results towards achieving their goals and generating new knowledge. Such knowledge in turn may be disseminated and used to achieve the shared goal of the application system. Here the vision is to achieve a synergy with e-health systems whereby both semantics and agents will be equally in the center stage. Therefore, paper proposals on approaches and applications of big data analytics, knowledge-based expert systems, machine learning, security, privacy, and Web technologies for affecting e-health/m-health systems are welcome. Topics of interest span a wide spectrum in both theory and practice. Authors are invited to submit original technical papers and novel research contributions in any aspect of e-health and covering but not limited to the topics of interest listed below:
Autonomic analysis, monitoring and situation alertness
e-Health big data: Access, aggregation and use
Body sensor networks and wearable sensor systems on e-health
Medical biofeedback
Medical decision support expert systems and tools
Context awareness and autonomous computing for ambient assisted living
e-Health oriented software architectures (Agent, SOA, Middleware, etc.)
e-Health virtual and augmented reality
Emerging e-health applications
Mobile e-health applications
Health grid and health cloud
Health monitoring and traffic classification
Healthcare management systems
ICT-enabled personal health system
Image and video processing on e-health
e-health devices and smart parts for healthcare systems
Semantic Web and e-health systems
Ontology engineering and inferencing on the e-health systems
Semantic rule-based processing in e-health
Security, privacy and protection of personal data in e-health systems
Case studies of smart health in a smarter world.
Special Issue
The submissions for the special issue of last year’s papers (“SI: e-Health and Staying Smarter” in the “Expert Systems: The Journal of Knowledge Engineering”) is now under review. A book project for the current and past ESAS papers is likely to be offered for ESAS 2019; more to follow.