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Australian State/Territory : VIC
Status : Closed
Field of Research : Health Informatics
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Health Informatics (3)
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  • Funded Activity

    Discovery Projects - Grant ID: DP140100047

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Enhancing and supporting deliberations within multidisciplinary decision teams. A group’s knowledge and reasoning processes are rarely conducted or recorded systematically; a problem particularly pressing for medical decisions made by multidisciplinary teams. This project will perform the first integration of knowledge management principles with group reasoning process models to create an online environment for enhancing the quality of group decisions and their documentation. The online environm .... Enhancing and supporting deliberations within multidisciplinary decision teams. A group’s knowledge and reasoning processes are rarely conducted or recorded systematically; a problem particularly pressing for medical decisions made by multidisciplinary teams. This project will perform the first integration of knowledge management principles with group reasoning process models to create an online environment for enhancing the quality of group decisions and their documentation. The online environment will help medical teams use documented and non-documented knowledge when more than one medical condition is present and no formal guidelines are applicable. The project advances theories of knowledge in groups and is extendable to any deliberations on complex problems.
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    Funded Activity

    Linkage Projects - Grant ID: LP100100156

    Funder
    Australian Research Council
    Funding Amount
    $273,000.00
    Summary
    Skeletome - A Curated Online Knowledge Base Integrating Clinical and Biological Information on Skeletal Dysplasias and Related Conditions. The skeletal dysplasia knowledge base will: * establish Australia as a world-leader in skeletal dysplasia research; * provide researchers with an extensible and comprehensive online knowledge-base related to skeletal dysplasias; * enhance clinicians' understanding of the diagnosis, treatment and management of skeletal dysplasias; * facilitate collaborativ .... Skeletome - A Curated Online Knowledge Base Integrating Clinical and Biological Information on Skeletal Dysplasias and Related Conditions. The skeletal dysplasia knowledge base will: * establish Australia as a world-leader in skeletal dysplasia research; * provide researchers with an extensible and comprehensive online knowledge-base related to skeletal dysplasias; * enhance clinicians' understanding of the diagnosis, treatment and management of skeletal dysplasias; * facilitate collaborative discussions by patients, clinicians and researchers around specific cases to improve training, management and diagnosis; and * enhance Australia's research expertise in Semantic Web and social networking technologies.
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    Funded Activity

    Discovery Projects - Grant ID: DP160103934

    Funder
    Australian Research Council
    Funding Amount
    $410,000.00
    Summary
    Nonparametric Machine Learning for Modern Data Analytics. This project intends to develop next-generation machine-learning methods to cope with the growing data deluge. Modern data analytics tasks need to interpret and derive values from complex, growing data. Intended outcomes of the project include new Bayesian nonparametric methods that can express arbitrary dependency amongst multiple, heterogeneous data sources with infinite model complexity, together with algorithms to perform inference an .... Nonparametric Machine Learning for Modern Data Analytics. This project intends to develop next-generation machine-learning methods to cope with the growing data deluge. Modern data analytics tasks need to interpret and derive values from complex, growing data. Intended outcomes of the project include new Bayesian nonparametric methods that can express arbitrary dependency amongst multiple, heterogeneous data sources with infinite model complexity, together with algorithms to perform inference and deduce knowledge from them; new Bayesian statistical inference for set-valued random variables that moves beyond vectors and matrices to enrich our analytics toolbox to deal with sets; and a new deterministic fast inference to meet with real-world demand.
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