A5024894727- Dementia and Cognitive Impairment Research
- Machine Learning in Healthcare
- Gallbladder and Bile Duct Disorders
- Hernia repair and management
- Health, Environment, Cognitive Aging
- COVID-19 Clinical Research Studies
- Artificial Intelligence in Healthcare
- Surgical site infection prevention
- Hearing Loss and Rehabilitation
- Biliary and Gastrointestinal Fistulas
- Health Systems, Economic Evaluations, Quality of Life
- Pediatric Hepatobiliary Diseases and Treatments
- Colorectal Cancer Surgical Treatments
- Biomedical Text Mining and Ontologies
- Artificial Intelligence in Healthcare and Education
- Primary Care and Health Outcomes
- Pelvic and Acetabular Injuries
- Appendicitis Diagnosis and Management
- Stoma care and complications
- SARS-CoV-2 and COVID-19 Research
- Healthcare cost, quality, practices
- Healthcare Systems and Technology
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Antibiotic Use and Resistance
- Noise Effects and Management
Public Health Agency
2025
University of Ulster
2018-2024
University of Bath
2023
The University of Adelaide
2023
The University of Melbourne
2023
Intelligent Systems Research (United States)
2019-2022
Intel (United States)
2016-2019
The 2024/25 influenza season in Europe is currently characterised by co-circulation of A(H1N1)pdm09, A(H3N2) and B/Victoria viruses, with A(H1N1)pdm09 predominating. Interim vaccine effectiveness (VE) estimates from eight European studies (17 countries) indicate an all-age A VE 32–53% primary care 33–56% hospital settings, some signals lower subtype higher against B (≥ 58% across settings). Where feasible, vaccination should be encouraged other prevention measures strengthened.
Laparoscopic cholecystectomy, the gold-standard approach for has surprisingly variable outcomes and conversion rates. Only recently operative grading been reported to define disease severity few have validated. This multicentre, multinational study assessed an scoring system assess its ability predict need from laparoscopic open cholecystectomy.A prospective, web-based, ethically approved was established by WSES with a 10-point gallbladder system; enrolling patients undergoing elective or...
Abstract Introduction Hearing aid usage has been linked to improvements in cognition, communication, and socialization, but the extent which it can affect incidence progression of dementia is unknown. Such research vital given high prevalence hearing impairment older adults, fact that both conditions often coexist. In this study, we examined for first time effect use aids on conversion from mild cognitive (MCI) dementia. Methods We used a large referral‐based cohort 2114 hearing‐impaired...
Abstract There is currently a lack of an efficient, objective and systemic approach towards the classification Alzheimer’s disease (AD), due to its complex etiology pathogenesis. As AD inherently dynamic, it also not clear how relationships among indicators vary over time. To address these issues, we propose hybrid computational for evaluate on heterogeneous longitudinal AIBL dataset. Specifically, using clinical dementia rating as index severity, most important (mini-mental state...
We investigated the association between a wide range of comorbidities and COVID-19 in-hospital mortality assessed influence multi morbidity on risk COVID-19-related death using large, regional cohort 6036 hospitalized patients. This retrospective study was conducted Patient Administration System Admissions Discharges data. The International Classification Diseases 10th edition (ICD-10) diagnosis codes were used to identify common outcome measure. Individuals with lymphoma (odds ratio [OR],...
Introduction Novelty detection (ND, also known as one-class classification) is a machine learning technique used to identify patterns that are typical of the majority class and can discriminate deviations novelties. In context Alzheimer's disease (AD), ND could be employed detect abnormal or atypical behavior may indicate early signs cognitive decline presence disease. To date, few research studies have risk developing AD mild impairment (MCI) from healthy controls (HC). Methods this work,...
Accurate computational models for clinical decision support systems require clean and reliable data but, in practice, are often incomplete. Hence, missing could arise not only from training datasets but also test which consist of a single undiagnosed case, an individual. This work addresses the problem extreme missingness both by evaluating multiple imputation classification workflows based on diagnostic accuracy cost. Extreme is defined as having ∼50% total more than half features. In...
We analyse the influence of solid Earth tides and ocean loading on occurrence time Southern California earthquakes. For each earthquake, we calculate tidal Coulomb failure stress rate a fault plane that is assumed to be controlled by orientation adjacent fault. To reduce bias when selecting data for testing tide-earthquake relationship, create four earthquake catalogues containing events within 1, 1.5, 2.5 5 km nearest faults. investigate difference in seismicity rates at times positive...
Large-scale companies across various sectors maintain substantial IT infrastructure to support their operations and provide quality services for customers employees. These are managed by teams who deal directly with incident reports (i.e., those generated automatically through autonomous systems or human operators). (1) Background: Early identification of major incidents can a significant advantage reducing the disruption normal business operations, especially preventing catastrophic...
Background: The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2 has posed unprecedented challenges to healthcare systems worldwide. Here, we have identified proteomic and genetic signatures for improved prognosis which is vital research. Methods: We investigated genomic profile of positive patients (n=400 proteomics, n=483 genomics), focusing on differential regulation between hospitalised non-hospitalised patients. Signatures had their predictive capabilities tested using...
Antimicrobial resistance has become one of the greatest threats to global health. Over 80% antibiotics are prescribed in primary care, with many prescriptions considered be issued inappropriately. The aim this study was examine association between prescribing rates and demographic, practice, geographic, socioeconomic characteristics using a multilevel modelling approach. Antibiotic data by 320 GP surgeries Northern Ireland were obtained from Business Services Organisation for years...
Background: The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has posed unprecedented challenges to healthcare systems worldwide. Here, we have identified proteomic and genetic signatures for improved prognosis which is vital research. Methods: We investigated genomic profile of COVID-19-positive patients (n = 400 proteomics, n 483 genomics), focusing on differential regulation between hospitalised non-hospitalised patients. Signatures had their predictive capabilities...