STROKE123: A Collaborative, National Effort To Monitor, Promote And Improve The Quality Of Stroke Care In Hospitals And Patient Outcomes.
Funder
National Health and Medical Research Council
Funding Amount
$1,261,292.00
Summary
Stroke is a major public health issue in Australia. This Better Health Initiative partnership project is designed to rigorously evaluate a methodology to improve the monitoring and use of data for stroke, as well as an intervention to address evidence-practice gaps for essential interventions known to have a direct association with patient outcomes. The findings will provide a platform for national roll-out of appropriate and enhanced data collection solutions linked to an effective model for im ....Stroke is a major public health issue in Australia. This Better Health Initiative partnership project is designed to rigorously evaluate a methodology to improve the monitoring and use of data for stroke, as well as an intervention to address evidence-practice gaps for essential interventions known to have a direct association with patient outcomes. The findings will provide a platform for national roll-out of appropriate and enhanced data collection solutions linked to an effective model for improving clinical care and outcomes of stroke.Read moreRead less
Understanding The Connections Between Aboriginal And Torres Strait Islander Culture, Health And Wellbeing To Support Action To Improve Outcomes
Funder
National Health and Medical Research Council
Funding Amount
$1,915,802.00
Summary
Little is known about the inter-relationship of cultural factors and Aboriginal and Torres Strait Islander health outcomes and these relationships have not been quantified. Through a large cohort study, this research will produce data that combines standard health measures with newly developed quantitative measures of cultural factors, supported by data linkage infrastructure. Robust analytical methods will be used to inform policy and program development.
Energy Transitions, Air Pollution And Health In Australia
Funder
National Health and Medical Research Council
Funding Amount
$2,491,229.00
Summary
Emissions from burning biomass (including fossil fuels) are major features of our environment and are the 4th leading global risk factor for premature death. As countries shift their patterns of energy use in response to global warming, new challenges are emerging. Understanding this is crucial to our ability to maintain health and stability in uncertain times. This CRE will examine the health consequences of (1) fossil fuel combustion, (2) landscape fires and (3) alternatives to fossil fuels.
Glaucoma is the second leading cause of blindness in the world affecting approximately 70 million people. Glaucoma can occur at any age but the commonest type occurs in middle to old age. The disease has a genetic basis and can be inherited. As a result we have been studying the genetics of the disease in two large families from Tasmania. We hope to identify the genes involved in disease causation using a number of genetic techniques. Once mutations in a disease gene have been identified from af ....Glaucoma is the second leading cause of blindness in the world affecting approximately 70 million people. Glaucoma can occur at any age but the commonest type occurs in middle to old age. The disease has a genetic basis and can be inherited. As a result we have been studying the genetics of the disease in two large families from Tasmania. We hope to identify the genes involved in disease causation using a number of genetic techniques. Once mutations in a disease gene have been identified from affected individuals we will then be in a position to look for mutations in other family members and identify those individuals at risk of developing disease. Improvements in our understanding of how these genes are involved in disease causation will allow us to offer diagnostic testing to the wider community and develop better therapeutic interventions for treatment.Read moreRead less
XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contr ....XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contribute to the advance in database and web research communities and establish us as an internationally leading group in this research area. The technological outcomes will help organisations in Australia effectively and efficiently conduct e-Business on the Internet. Read moreRead less
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Identifying and Tracking Influential Events in Large Social Networks. This project aims to invent a novel model and techniques for identifying and tracking influential events in large and dynamic social networks in real time. The proposed model would take into account the structure and content of social networks, and the influence of events. The project also plans to develop efficient strategies for identifying and tracking events in large and dynamic social network environments based on the mod ....Identifying and Tracking Influential Events in Large Social Networks. This project aims to invent a novel model and techniques for identifying and tracking influential events in large and dynamic social networks in real time. The proposed model would take into account the structure and content of social networks, and the influence of events. The project also plans to develop efficient strategies for identifying and tracking events in large and dynamic social network environments based on the model, In particular, the project plans to investigate flexible social network query methods to make users’ event search easy. Finally the project plans to build an evaluation system to demonstrate the efficiency of the algorithms and effectiveness of the model.Read moreRead less
Biclique discovery in Big Data. This project aims to design algorithms to capture Big Data. Biclique is a popular graph model that can capture important cohesive structures in many applications. However, traditional biclique discovery algorithms which only focus on simple, small-scale, static and deterministic data are inadequate in the era of Big Data where data has Variety (various formats), Volume (large quantity), Velocity (dynamic update) and Veracity (uncertainty). This project expects to ....Biclique discovery in Big Data. This project aims to design algorithms to capture Big Data. Biclique is a popular graph model that can capture important cohesive structures in many applications. However, traditional biclique discovery algorithms which only focus on simple, small-scale, static and deterministic data are inadequate in the era of Big Data where data has Variety (various formats), Volume (large quantity), Velocity (dynamic update) and Veracity (uncertainty). This project expects to benefit real applications in both public and private sectors and add value to Australian manufactured products.Read moreRead less
Analysis and classification of malicious code. Malicious software such as viruses and worms directly attacks the security, privacy and integrity of Australian e-commerce, large databases and communication channels. The recent uptake of malicious software by organised crime has made finding effective countermeasures more urgent. Around 80% of the malicious code in circulation is disguised in some way. This significantly increases the difficulty of automated detection and delays analysis. Automate ....Analysis and classification of malicious code. Malicious software such as viruses and worms directly attacks the security, privacy and integrity of Australian e-commerce, large databases and communication channels. The recent uptake of malicious software by organised crime has made finding effective countermeasures more urgent. Around 80% of the malicious code in circulation is disguised in some way. This significantly increases the difficulty of automated detection and delays analysis. Automated classification and de-obfuscation technologies are a precondition to applying more sophisticated detection heuristics. The project will be instrumental in safeguarding Australia by protecting critical infrastructure and defending us from online organised crime and information warfare.Read moreRead less