Call for Papers: Special Issue on “Advanced Internet of Things in a Personalized Healthcare System: Validation, Analysis and Utilization”

March 27, 2017

Download Call for Papers (PDF)

Due to the exponential growth of wearable devices and mobile apps, healthcare as a field is being transformed by Internet of Things (IoT)-enabled technology. The traditional hubs of healthcare, such as hospitals and clinics, are being transformed into personalized healthcare systems–especially the mobile environment. However, most research in IoT-enabled healthcare has focused on domain-specific studies on designated sensors, algorithms and applications. There is still a paucity of research on a methodological level that explores and delivers high-level innovative and comprehensive informatics methods in the field. Innovative informatics methodologies in IoT-enabled healthcare will benefit the establishment and enhance the efficiency of practical, interoperable IoT systems for care delivery and research, as well as adequate data and knowledge standards for self-empowerment and sound clinical decision-making. The goal of this special issue, Advanced Internet of Things in a Personalized Healthcare System: Validation, Analysis and Utilization, is to bring together researchers and practitioners from both academia and industry into a single forum, to explore state-of-the-art research and applications in innovative technology for IoT-enabled personalized healthcare systems, including improvement of quality of life, clinical diagnosis, mental health, diet/exercise, and chronic disease self-management. Accepted papers will present efficient scientific and engineering solutions, address the needs and challenges for integration with new technologies, and provide a vision for future research and development. The special issue is especially focused on four major aspects of IoT-enabled healthcare: (1) Artificial Intelligence patterns or data mining algorithms for effectively and efficiently analyzing IoT-based personalized healthcare and clinical data. (2) Personalized knowledge models or systems to assist clinicians in decision-making for diagnosis and medication selection. (3) Interoperable and interactive IoT systems or applications to support heterogeneous devices in accessing, sharing, visualizing and exploring long-term individual behavior information.

Topics to be covered include, but are not limited to:

  • Personalized preventive medication in IoT-enabled personalized healthcare systems
  • Clinical decision support systems
  • Clinical translation and healthcare innovation in IoT-enabled healthcare
  • Clinical data storage and communication
  • Virtual reality, mixed and augmented reality
  • Mobile sensing and interaction techniques
  • Behavior change and analysis models in IoT-enabled personalized healthcare systems
  • Data mining and exploration of health data
  • Healthcare monitoring
  • Knowledge acquisition, discovery, modeling and management for IoT-enabled personal health
  • Ontologies, knowledge technologies, semantic web systems
  • Technology and models for behavioral intervention development
  • Evidenced-based approaches in behavioral health
  • IoT technology for social and emotional support
  • Emerging eHealth IoT application
  • IoT technology for medication management and adherence
  • Life-logging devices and technologies

Important Dates

  • Submission deadline: August 31, 2017
  • Completion of first round of reviews: November 30, 2017
  • Revised manuscript submission: January 31, 2018
  • Notification of final decision: March 15, 2018
  • Final manuscript submission: April 20, 2018

Papers should be submitted through: https://mc.manuscriptcentral.com/jtehm-embs. Choose the paper type: Special Issue: Advanced Internet of Things

For detailed submission information, please refer to “Information for Authors” on this website.

Guest Editors

  • Dr Po Yang, Liverpool John Moores University, UK, P.Yang@ljmu.ac.uk
  • Dr Julija Voicehovsak, Riga Stradins University, Latvia, dr.Julia.v@gmail.com
  • Prof Li Da Xu, Old Dominion University Norfolk, US, LXu@odu.edu
  • Dr Baoquan Liu, Huawei UK Research Centre, UK, Baoquan.liu@huawei.com
  • Dr Srini Tridandapani, Emory University School of Medicine, US, stridan@emory.edu

Download Call for Papers (PDF)

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