ESAS 2019: The 14th IEEE International Workshop on E-Health Systems & Web Technologies

ESAS 2019 Program

ESAS 1: The 14th IEEE International Workshop on E-Health Systems & Web Technologies
Smart Health Systems & Health Data Analysis
Monday July 15, 10:00 – 12:00
Location: Ballroom A
Session Chair: Rajesh Subramanyan, Siemens, USA

Machine Learning-based Modeling of Big Clinical Trials Data for Adverse Outcome Prediction: A Case Study of Death Events
Ling Tong, Ron Cisler, Michael Cantor and Jake Luo

A Framework for Dengue Surveillance and Data Collection in Pakistan
Komal Minhas, Munazza Tabassum, Rida Rasheed, Assad Abbas, Hasan Ali Khattak and Samee Khan

A Real-time Cardiac Monitoring using a Multisensory Smart IoT System
AKM Jahangir Majumder, Mohamed Elsaadany, Joshua Izaguirre and Donald Ucci

ESAS 2: The 14th IEEE International Workshop on E-Health Systems & Web Technologies
Applications on Health Systems
Monday July 15, 1:00 – 2:30
Location: Ballroom A
Session Chair: Stelvio Cimato, Stelvio Cimato, Università degli Studi di Milano, Italy

Educational App Proposal to Support Pregnant Women
Daniel Scherer and José George Dias de Souza

World’s First Retransmission of Medical Images in an Operating Room via DICOM-RTV: Technical Details
Saad El Jaouhari, Patrick Hardy, Guillaume Pasquier, Pierrick Guitter, Eric Poiseau, Cédric Moubri-Tournes, Stéphane Leduc, Sébastien Vincendeau, Laurent Bourgeois, Bernard Gibaud and Emmanuel Cordonnier

Call for Papers

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:

1. Inquiring into the theory and practice of engineering e-health systems, especially methods, means, and best cases;
2. 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.