Health, Economic, Psychological And Social Impact Of Educating Carers Of Patients With Advanced Pulmonary Disease (APD)
Funder
National Health and Medical Research Council
Funding Amount
$605,452.00
Summary
Our study aims to understand the health, economic and social costs associated with caring for patients with advanced pulmonary disease (APD) and to determine health, economic and social impact of improving the skills of caregivers of patients with APD has on patients and their carers. Patients with APD are a large population at high risk of health resource use, unnecessary medication use and emergency admission to hospital or residential care facilities. Although previous research has identified ....Our study aims to understand the health, economic and social costs associated with caring for patients with advanced pulmonary disease (APD) and to determine health, economic and social impact of improving the skills of caregivers of patients with APD has on patients and their carers. Patients with APD are a large population at high risk of health resource use, unnecessary medication use and emergency admission to hospital or residential care facilities. Although previous research has identified difficulties experienced by caregivers of the elderly in general, very little research has been undertaken with carers of patients with APD. The study will compare the usual practice of educating patients with APD who commence home oxygen therapy (HOT), and their carers, against a more detailed and individually targeted education program that increases the skills of patients and carers. This study has the potential to reduce hospital-residential care readmission, reduce carer distress, improve patient outcomes, reduce adverse effects of oxygen therapy and medication use, and minimize inappropriate presentation to tertiary care emergency departments.Read moreRead less
Hypoxia-induced Suppression Of Respiratory Sensations And Reflexes
Funder
National Health and Medical Research Council
Funding Amount
$276,750.00
Summary
Many diseases that effect the respiratory system have their primary effect on the lungs and airway themselves but in some conditions, such as obstructive sleep apnea (OSA) and asthma, increased breathing load can induce periods of low blood oxygen which could further contribute to morbidity in these diseases. OSA is a disorder associated with snoring. Patients experience periods of sleep fragmentation and oxygen deprivation due to obstruction of the floppy portion of the upper airway (pharynx) d ....Many diseases that effect the respiratory system have their primary effect on the lungs and airway themselves but in some conditions, such as obstructive sleep apnea (OSA) and asthma, increased breathing load can induce periods of low blood oxygen which could further contribute to morbidity in these diseases. OSA is a disorder associated with snoring. Patients experience periods of sleep fragmentation and oxygen deprivation due to obstruction of the floppy portion of the upper airway (pharynx) during sleep. It affects 4% of men and 2% of women and causes excessive daytime sleepiness leading to increased risk of accidents, high blood pressure and premature cardiovascular disease. Asthma produces airway inflamation and narrowing and affects a wide range of people. Both OSA and asthma are associated with episodes of impaired breathing and reduced levels of oxygen in the blood. Low levels of oxygen in the blood (hypoxia) is well known to impair functioning of the central nervous system. We have recently found that hypoxia blunts sensations of increased breathing load in healthy people and in asthmatics. Hypoxia might therefore contribute to worsening of attacks in these diseases. This study aims to investigate how changes in blood oxygen levels affect brain processing of respiratory signals, how this translates to perception of sensations and the physiological adaptations that people make to cope with increased breathing load. We will also investigate whether the inhibitory effects of hypoxia on central nervous system function extend to other vital protective respiratory reflexes such as cough, awakening from sleep to increased breathing load and upper airway reflexes that are important for maintaining an open airway.Read moreRead less
Breathing disturbances and reflexes in sleep and effects on sleep and daytime function. This project will investigate protective reflexes in sleep and the impact of breathing disturbances and frequent arousal on markers of brain functioning and health. This will also significantly advance the understanding of key mechanisms promoting unstable breathing in sleep and ill health and functioning from disturbed sleep.
Discovery Early Career Researcher Award - Grant ID: DE120101161
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Compressive sensing based probabilistic graphical models (PGM). The aim of the project is to develop fast, large scale probabilistic graphical models (PGM) learning and inference methods. The resulting system will be able to process large scale PGMs on a standard PC, and will be easily extendable to computer clustering for larger scale PGMs requiring higher precision.
Efficient causal discovery from observational data. Discovering cause-effect relationships is the ultimate goal for many applications. Randomised control trial is the gold standard for discovering causal relationships. However, conducting such trials is impossible in many cases due to cost and/or ethical concerns. In contrast, a large amount of data has been accumulated in all areas. It is desirable to infer causal relationships from data directly and automatically. This project aims to develop ....Efficient causal discovery from observational data. Discovering cause-effect relationships is the ultimate goal for many applications. Randomised control trial is the gold standard for discovering causal relationships. However, conducting such trials is impossible in many cases due to cost and/or ethical concerns. In contrast, a large amount of data has been accumulated in all areas. It is desirable to infer causal relationships from data directly and automatically. This project aims to develop fast and scalable data mining methods for identifying causal relationships from large and/or high dimensional data sets. The developed methods will mainly be evaluated in real world biological applications. The research outcomes will be useful in many areas for causal reasoning and decision making.Read moreRead less
Fairness aware data mining for discrimination free decision-making. This project aims to develop data mining methods to detect algorithmic discriminations and to build fair decision models. It expects to provide techniques for regulatory organisations to detect discriminations in algorithmic decisions, and for various companies and organisations to build fair decision systems. Expected outcomes are novel and accurate methods for discrimination detection, practical and versatile techniques for fa ....Fairness aware data mining for discrimination free decision-making. This project aims to develop data mining methods to detect algorithmic discriminations and to build fair decision models. It expects to provide techniques for regulatory organisations to detect discriminations in algorithmic decisions, and for various companies and organisations to build fair decision systems. Expected outcomes are novel and accurate methods for discrimination detection, practical and versatile techniques for fair decision model building, and improved understanding of the relationships between privacy preservation and discrimination prevention to enable new techniques to achieve both goals. The developed techniques enable society to tackle ethical challenges in the big data era where many decisions are analytics based. Read moreRead less
Developing novel data mining methods to reveal complex group relationships from heterogeneous data. This project aims to develop novel and effective data mining methods that will enable us to unravel the relationships between multiple, rather than individual, components of complex systems (such as genes, gene regulators and cancer), which is crucial to understanding how such systems work. Potential applications for such methods are extensive.
Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are compl ....Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are complete and noise-free. These weaknesses limit its utility, because real data such as those that must be analysed in processing social networks, fraud detection do not satisfy the restrictions. The aim of this project is to develop theoretical and practical advances in OL that overcome the existing weaknesses.Read moreRead less
Probabilistic Graphical Models For Interventional Queries. The project intends to develop methods to suggest how to optimally intervene so that the future state of the system will best suit our interests. The power of probabilistic graphical models to model complex relationships and interactions among a large number of variables facilitates many applications. However, such models only aim to understand the underlying environment. What is ultimately needed in many real-world applications is to su ....Probabilistic Graphical Models For Interventional Queries. The project intends to develop methods to suggest how to optimally intervene so that the future state of the system will best suit our interests. The power of probabilistic graphical models to model complex relationships and interactions among a large number of variables facilitates many applications. However, such models only aim to understand the underlying environment. What is ultimately needed in many real-world applications is to suggest how we ought to intervene or act, so as to alter the environment to best suit our interests. The proposed project aims to achieve this using probabilistic graphical models on massive real-world data sets, thus facilitating a variety of applications from health care to commerce and the environment.Read moreRead less
Common synaptic inputs to human upper airway muscles. Changes in the activity of upper airway muscles at sleep onset contribute to the development of Obstructive Sleep Apnoea. The aim of this project is to investigate how the brain controls upper airway muscles during wakefulness and sleep and to identify the pathological processes that lead to the development of Obstructive Sleep Apnoea.