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  • Home
  • About Center
    • Introduction
    • Organization
    • Collaboration
  • Research
    • Core 1: Knowledge Extraction
    • Core 2: Knowledge Engineering Tool
    • Core 3: Data Acquisition and Persistence
    • Core 4: UI Manager
    • Core 5: Service Integration Manager
  • Online Education
  • Archive
    • Achievement
    • Documents
    • Presentations
    • Publications
    • Open Source
    • Video Clips
    • TEIN
  • Contact
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INTELLIGENT MEDICAL PLATFORM

Design and develop evidence and dialogue based clinical decision support system to support diverse knowledge resources (i.e. unstructured text, images, and structured EMR/EHR data) for evolutionary knowledge base with novel technology

Supporting Tools

INTELLIGENT MEDICAL PLATFORM

To facilitate users (patients and physicians) to dialogue with the system using multimodal (text, voice, and image) dialogue interface

Research Plan - Limitations and Solutions

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REMIND PROJECT- HORIZON 2020

The aim of REMIND is to create an International and Intersectoral network to facilitate the exchange of staff to progress developments in reminding technologies for persons with dementia that can be deployed in smart environments. The consortium is comprised of an International network of 7 academic beneficiaries, 5 non-academic beneficiaries and 4 partners from Third Countries, all of whom are committed to progressing the notion of reminding technologies within smart environments. The focus of REMIND is to develop staff and beneficiary/partner skills in the areas of user centered design and behavioral science coupled with improved computational techniques which in turn will offer more appropriate and efficacious reminding solutions. This will be further supported through research involving user centric studies into the use of reminding technologies and the theory of behaviour change to improve compliance of usage.

A program of work has been established to maximise the transfer of knowledge between different sectors offering a range of development and training opportunities for staff. Industrial staff will benefit from bi-lateral exchanges from the technical domains of context aware reminding technologies, soft computing, aware intelligent systems, pervasive computing and the psychological domain of behaviour change (refer to Figure 1). The academic beneficiaries will benefit from gaining experience in the development of industrial standard software conforming to ISO and medical standards, engagement with stakeholders through a user centred design process and working with organisations delivering care to the elderly and persons with dementia.

 

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