- Primary Care and Health Outcomes
- Parallel Computing and Optimization Techniques
- Chronic Disease Management Strategies
- Sepsis Diagnosis and Treatment
- Health Policy Implementation Science
- Smoking Behavior and Cessation
- Machine Learning in Healthcare
- Behavioral Health and Interventions
- Chronic Obstructive Pulmonary Disease (COPD) Research
- School Health and Nursing Education
- Health, psychology, and well-being
- Asthma and respiratory diseases
- Palliative Care and End-of-Life Issues
- Health disparities and outcomes
- Distributed and Parallel Computing Systems
- Cardiac Arrest and Resuscitation
- Interprofessional Education and Collaboration
- Seedling growth and survival studies
- Emergency and Acute Care Studies
- Respiratory Support and Mechanisms
- Patient Satisfaction in Healthcare
- Geriatric Care and Nursing Homes
- Mental Health and Patient Involvement
- Health Systems, Economic Evaluations, Quality of Life
- Distributed systems and fault tolerance
Monash University
2011-2025
University of Kentucky
2005-2024
Eastern Health
2024
Australian Regenerative Medicine Institute
2022-2023
UNSW Sydney
2023
University of Liverpool
2015-2023
General Department of Preventive Medicine
2023
La Trobe University
2023
IBM (Canada)
2012-2023
North Bristol NHS Trust
2023
Objectives We validate a machine learning-based sepsis-prediction algorithm ( InSight ) for the detection and prediction of three sepsis-related gold standards, using only six vital signs. evaluate robustness to missing data, customisation site-specific data transfer learning generalisability new settings. Design A machine-learning with gradient tree boosting. Features were created from combinations sign measurements their changes over time. Setting mixed-ward retrospective dataset...
Studies with positive results are more likely to be published in biomedical journals than studies negative results. However, many submitted for consideration at scientific meetings never full; bias this setting is poorly studied.To identify features associated the fate of research abstracts a meeting.Prospective observational cohort, 5-year follow-up all major annual 1991 US meeting specialty emergency medicine.All possible presentation.Characteristics acceptance presentation and subsequent...
It is not known whether peer review of research abstracts submitted to scientific meetings influences subsequent attempts at publication.To determine why a meeting subsequently published. We hypothesized that authors rejected by are less likely pursue publication than those whose accepted, regardless quality.Blinded medical specialty in 1991 and published as full manuscripts within 5 years. In 1996, 266 unpublished studies were asked complete questionnaires.Submission manuscript journal...
Capnography is a valuable tool in the management of cardiac arrest, since end-tidal CO2 (Petco2) correlates well with output and there are no other suitable noninvasive ways to measure this important variable during resuscitation. Animal studies also suggest that Petco2 likelihood resuscitation, but has never been confirmed humans. We prospectively studied 55 adult, nontraumatic prehospital arrest patients, was monitored an in-line sensor on arrival ED throughout which managed by usual...
This paper describes an end-to-end system implementation of the transactional memory (TM) programming model on top hardware (HTM) Blue Gene/Q (BG/Q) machine. The TM supports most C/C++ constructs a best-effort HTM with help complete software stack including compiler, kernel, and runtime.
A major problem in treating acute kidney injury (AKI) is that clinical criteria for recognition are markers of established damage or impaired function; treatment before such manifests desirable. Clinicians could intervene during what may be a crucial stage preventing permanent if patients with incipient AKI and those at high risk developing identified.In this study, we evaluate machine learning algorithm early detection prediction AKI.We used technique, boosted ensembles decision trees, to...
To examine if there is an increased participation in physical or sporting activities following Olympic Paralympic games.Overview of systematic reviews.We searched the Medline, Embase, Cochrane, DARE, SportDISCUS and Web Knowledge databases. In addition, we for 'grey literature' Google, Google scholar on International Committee websites. We restricted our search to those reviews published English. used AMSTAR tool assess methodological quality included.The primary outcome was evidence...
Background: Early detection of pediatric severe sepsis is necessary in order to optimize effective treatment, and new methods are needed facilitate this early detection. Objective: Can a machine-learning based prediction algorithm using electronic healthcare record (EHR) data predict onset populations? Methods: EHR were collected from retrospective set de-identified inpatient emergency encounters for patients between 2-17 years age, drawn the University California San Francisco (UCSF)...
Background and objectives. Alexithymia is a personality trait associated with difficulty identifying verbalizing feelings. It has been poorly controlled asthma near-fatal asthma. The primary objectives were to () determine the prevalence of alexithymia in group moderate severe asthmatics who attended an Outpatient Clinic; investigate relationship between control, management, communication. Methods. Twenty-five patients recruited from Royal Adelaide Hospital Respiratory Clinic. Participants...
A scoping review was conducted to determine the size and nature of evidence describing associations between social support networks on health, management clinical outcomes amongst patients with COPD. Searches PubMed, PsychInfo CINAHL were undertaken for period 1966-December 2013. descriptive synthesis main findings demonstrate where there is current support, health outcomes, further research needed. The search yielded 318 papers which 287 excluded after applying selection criteria. Two areas...
Prediction of patients at risk for mortality can help triage and assist in resource allocation.Develop evaluate a machine learning-based algorithm which accurately predicts COVID-19, pneumonia, mechanically ventilated patients.Retrospective study 53,001 total ICU patients, including 9166 with pneumonia 25,895 performed on the MIMIC dataset. An additional retrospective analysis was community hospital dataset containing 114 positive SARS-COV-2 by PCR test. The outcome interest in-hospital...
Translation in qualitative research is an essential process to accurately convey participants’ meanings between languages, thus ensuring the trustworthiness of research. However, detailed reporting this crucial not included current guidelines. We will illustrate complexity translation based on our experiences across contexts three countries. also provide recommendations preserve and trustworthiness. These highlight importance cross-language health emphasise need for a clear comprehensive guideline.
Abstract Background A significant policy change impacting the availability of nicotine for use in electronic cigarettes (e-cigarettes) Australia took effect from October 1, 2021. This meant that containing liquids with e-cigarettes would only be available by prescription a medical practitioner as part smoking cessation plan. study aimed to explore general practitioners (GPs) perceptions about role e-cigarettes, and understand factors informing their intentions prescribe Methods In-depth...
The presence of Alcohol Use Disorder (AUD) complicates the medical conditions patients and increases difficulty detecting predicting onset septic shock for in ICU.We have developed a high-performance sepsis prediction algorithm, InSight, which outperforms existing methods AUD patient populations. InSight analyses combination singlets, doublets, triplets clinical measurements over time to generate risk score. obtained from MIMIC III database were used this retrospective study train compare...
This study was conducted to assess the variation in prescription practices for systemic antimicrobial agents used prophylaxis among pediatric patients hospitalized 41 countries worldwide.Using standardized Antibiotic Resistance and Prescribing European Children Point Prevalence Survey protocol, a cross-sectional point-prevalence survey at 226 hospitals from October 1 November 30, 2012.Overall, 17693 were surveyed 36.7% of them received antibiotics (n = 6499). Of 6818 inpatient children, 2242...