Adequate nutrition is necessary for recovery from illness. 30-40% of hospitalised patients may be malnourished. The critically ill are at higher risk because of increased energy requirements yet often receive less than 50% of required nutritional intake. Adequate nutrition therapy is associated with improved patient outcomes, such as reduced mortality and reduced infectious complications. Robust strategies to implement of evidence-based recommendations for nutrition therapy are required.
Best Evidence To Best Practice: Implementing An Innovative Model Of Care For Nutritional Management Of Patients With Head And Neck Cancer
Funder
National Health and Medical Research Council
Funding Amount
$276,250.00
Summary
This project aims to implement and evaluate an innovative best-practice dietetic model of care (MOC) based on published Evidence Based Guidelines for Nutritional Management of Patients with Head and Neck Cancer. Through integration with the multidisciplinary team, the MOC will take a patient-centred approach to delivery of nutritional care to minimise the detrimental sequelae of malnutrition and improve outcomes in this complex patient group.
Discovery Early Career Researcher Award - Grant ID: DE230101025
Funder
Australian Research Council
Funding Amount
$456,106.00
Summary
Food for thought: identifying dietary influences on decision making. Cues that signal food are abundant in the surrounding environment, yet their ability to stimulate food consumption remains poorly understood. This project seeks to identify how food cues influence decision-making processes in the presence of food cues. It will also test how dietary habits alter responding to food cues, and explore the underlying neural mechanisms of these effects. Sophisticated behavioural neuroscience techniqu ....Food for thought: identifying dietary influences on decision making. Cues that signal food are abundant in the surrounding environment, yet their ability to stimulate food consumption remains poorly understood. This project seeks to identify how food cues influence decision-making processes in the presence of food cues. It will also test how dietary habits alter responding to food cues, and explore the underlying neural mechanisms of these effects. Sophisticated behavioural neuroscience techniques will be employed in a validated rodent model of the modern diet. Expected outcomes include new interdisciplinary knowledge identifying how nutritional choices influence cognition and the brain. The project should inform how the modern environment shapes dietary habits.Read moreRead less
The mathematics and language of engineering uncertainty, preference and utility. Australian engineering firms are principals in many high-profile projects. To defend their position, they must demonstrate both sound engineering and quality processes, which by international standards includes the traceability of decisions. Yet, there are few tools to vet the multitude of decisions that go into large-scale engineering works. This project aims to form mathematical models of decision-making based on ....The mathematics and language of engineering uncertainty, preference and utility. Australian engineering firms are principals in many high-profile projects. To defend their position, they must demonstrate both sound engineering and quality processes, which by international standards includes the traceability of decisions. Yet, there are few tools to vet the multitude of decisions that go into large-scale engineering works. This project aims to form mathematical models of decision-making based on the language modelling of what is written in engineering documentation about the bases of decisions. The new methods will help decision makers to pinpoint irrationalities in decisions and notify them of possible errors. The research can therefore be applied to important problems in the engineering sector such as risk management.Read moreRead less
The Characterisation of Fires in Tunnels. A series of 22 fires ranging from 2 megawatt up to 20 megawatt intensity will be set under controlled conditions in unused tunnel facilities, in New South Wales. Instrumentation in the tunnel, donated by the State Rail Authority of New South Wales, will monitor the movement of particulates (smoke). This information is vital to tunnel design, and for passenger life safety. This information will be applicable to all tunnels worldwide.
Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are a ....Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.Read moreRead less
An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation meth ....An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation methods to synthesise these abstracts using automated statistical meta-analysis methods. These methods have broad potential to improve text-summarisation technologies in general, to profoundly enhance our ability to integrate published knowledge, and to make a highly significant and specific contribution to improving the quality of evidence used in health decision-making. Read moreRead less
Defence and Security Risk Assessment using Agent Based Distillations. Today's society continues to be occupied with the idea of risk. The recent events of September 11th, the Bali bombing, SARS, the bush fires in Canberra, and the Tsunami are examples of human-made and natural disasters. These events had dramatic consequences on the social, economic, and political environment and numerous industries. This project offers an innovative methodological paradigm for assessing risk through the transfe ....Defence and Security Risk Assessment using Agent Based Distillations. Today's society continues to be occupied with the idea of risk. The recent events of September 11th, the Bali bombing, SARS, the bush fires in Canberra, and the Tsunami are examples of human-made and natural disasters. These events had dramatic consequences on the social, economic, and political environment and numerous industries. This project offers an innovative methodological paradigm for assessing risk through the transfer of technologies drawn from defence simulations to the safety and security areas. The success of this project will mark a paradigm shift in the area of risk assessment and management.Read moreRead less
Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical a ....Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical and real-time physiological data. This project will develop a methodology and technology that supports neonatal analysis incorporating a framework to mine data for trend detection, resulting in higher survival rates.Read moreRead less
Intelligent Design Advisor for Manufacturing Process Knowledge within Concurrent Engineering in the Aerospace Industry. At present the design of engineering components in the aerospace industry is accomplished by experts from design and manufacturing either sequentially or in collaboration. If performed in sequence then time and quality is jeopardised. If performed in collaboration then more manpower than is necessary is expended. The aim of this project is to develop an intelligent design advis ....Intelligent Design Advisor for Manufacturing Process Knowledge within Concurrent Engineering in the Aerospace Industry. At present the design of engineering components in the aerospace industry is accomplished by experts from design and manufacturing either sequentially or in collaboration. If performed in sequence then time and quality is jeopardised. If performed in collaboration then more manpower than is necessary is expended. The aim of this project is to develop an intelligent design advisor for Manufacturing Process Knowledge that will provide this expert knowledge to the design engineer in order to speed up the design process while reducing costs and still maintaining the high standard of quality necessary in the Aerospace industry.Read moreRead less