A5080837512- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- Climate Change and Health Impacts
- COVID-19 and healthcare impacts
- Air Quality and Health Impacts
- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Health, Environment, Cognitive Aging
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Machine Learning in Healthcare
- Urban Transport and Accessibility
- Delphi Technique in Research
- Health disparities and outcomes
- Health Systems, Economic Evaluations, Quality of Life
Faculty of 1000 (United Kingdom)
2023
Faculty (United Kingdom)
2023
South Warwickshire NHS Foundation Trust
2014
Allergic diseases and asthma are intrinsically linked to the environment we live in patterns of exposure. The integrated approach understanding effects exposures on immune system includes ongoing collection large-scale complex data. This requires sophisticated methods take full advantage what this data can offer. Here discuss progress further promise applying artificial intelligence machine-learning approaches help unlock power environmental sets toward providing causality models exposure...
Objectives To map using geospatial modelling techniques the morbidity and mortality caused by heart failure within Warwickshire to characterise quantify any influence of air pollution on these risks. Design Cross-sectional. Setting Warwickshire, UK. Participants Data from all 105 current County wards were collected hospital admissions deaths due failure. Results In multivariate analyses, presence higher mono-nitrogen oxide (NOx) in a ward (3.35:1.89, 4.99), benzene (Ben) (31.9:8.36, 55.85)...
Abstract The COVID-19 pandemic has been a great challenge to healthcare systems worldwide. It highlighted the need for robust predictive models which can be readily deployed uncover heterogeneities in disease course, aid decision-making and prioritise treatment. We adapted an unsupervised data-driven model—SuStaIn, utilised short-term infectious like COVID-19, based on 11 commonly recorded clinical measures. used 1344 patients from National Chest Imaging Database (NCCID), hospitalised RT-PCR...
Abstract The National COVID-19 Chest Imaging Database (NCCID) is a centralised database containing chest X-rays, Computed Tomography (CT) scans and cardiac Magnetic Resonance Images (MRI) from patients across the UK, jointly established by NHSX, British Society of Thoracic (BSTI), Royal Surrey NHS Foundation Trust (RSNFT) Faculty. objective initiative to support better understanding coronavirus SARS-CoV-2 disease (COVID-19) development machine learning (ML) technologies that will improve...
The huge amount of streaming data available nowadays are due to massive use new technologies.Such tremendous amounts add a great deal challenges the traditional relational database paradigm.The are: performance in reading and scalability (that is ability handle changing demands by adding/removing resources).However, NoSQL enterprises not major issue because application design will be based on database.But problem appears when existing systems that relay restructuring their implement...