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Significant advancement in the Internet of Things (IoT) has generated a large number of opportunities for innovation in the field of healthcare. Due to the exponential growth of wearable devices and mobile applications, a promising trend in healthcare appears that the IoT enabled technology is transferring the traditional hubs of healthcare to the personalized healthcare systems. Successful utilization of IoT enabled technology in healthcare facilitates efficient diagnose and treatment, low costs, improvement of doctor-patient relationships, personalized treatment and enhanced sustainability.

In addition, the big data created by IoT are fast expanded with valuable and crucial information for personalised healthcare and decision making. These data contain not only a sheer volume of long-term health information, but also complex, diverse and rich context of the health information. Effectively and efficiently managing, analysing, visualising and exploring these big data becomes necessary and brings knowledge and intelligence of self-empowerment to the IoT users for supporting wiser clinical decision-making and personalised policy formulation.

However, empowering the utility of IoT enabled technology and promoting big-data as a source of innovation in healthcare systems is still challenging due to the lack of standardization of IoT system architectures, heterogeneity of wearable devices connected, multi-dimensionality and high volume of data set, and high demand for interoperability.

IoTBDH-2017 will be held on 21-23 June 2017 in Exeter, UK. The goal of IoTBDH workshop is to bring together researchers and practitioners from both academia and industry into a forum, to present the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.

征稿信息

重要日期

2017-02-28
摘要截稿日期

征稿范围

Sensors and IoT system architecture development for healthcare

  • Sensor design

  • Sensor or IoT system evaluation

  • New architectures of sensor or IoT system

  • Life-logging devices and technologies

  • Security and privacy

Cloud computing

  • Cloud technologies for IoT healthcare

  • Service-oriented technologies for IoT healthcare

  • Evaluations of Cloud-based healthcare applications

  • New cloud infrastructure development for IoT healthcare

Knowledge discovery and data mining

  • IoT Data management

  • Mining and exploration framework for healthcare data

  • Digital health

  • Knowledge discovery on IoT healthcare data

  • Predictive modelling for improving healthcare

  • Big data analytics, machine learning algorithms and scalable algorithms

  • Novel visualization methods for health data

IoT data integration and management

  • Network communication for health sensor data

  • Wearable sensor and data integration for healthcare

  • Standards and interoperability in IoT healthcare

  • Data fusion, integration, knowledge management and engineering

  • Emerging informatics framework for big-data

  • Big data and analytic for improving management of healthcare institutions Healthcare

  • Data security and privacy

Robotics applications

  • Robotics-based healthcare applications

  • Robotics as IoT for supporting healthcare

  • Emerging IoT and Big Data to Robotics for healthcare

  • Cloud Robotics for healthcare

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重要日期
  • 会议日期

    06月21日

    2017

    06月23日

    2017

  • 02月28日 2017

    摘要截稿日期

  • 06月23日 2017

    注册截止日期

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