A5074941839- Artificial Intelligence in Healthcare
- Mobile Health and mHealth Applications
- Air Quality and Health Impacts
- Cardiovascular Health and Risk Factors
- Cardiac Health and Mental Health
- Acute Myocardial Infarction Research
- Machine Learning in Healthcare
- Big Data and Business Intelligence
- COVID-19 impact on air quality
- Behavioral Health and Interventions
- Urban Transport and Accessibility
- Blood Pressure and Hypertension Studies
- Digital Mental Health Interventions
- Energy and Environment Impacts
- Artificial Intelligence in Healthcare and Education
- Climate Change and Health Impacts
Queen Mary University of London
2022-2023
William Harvey Research Institute
2023
University of Copenhagen
2020-2021
Public Health England
2020-2021
The link between exposure to ambient air pollution and mortality from cardiorespiratory diseases is well established, while evidence on neurodegenerative disorders including Parkinson's Disease (PD) remains limited.We examined the association long-term PD in seven European cohorts.Within project 'Effects of Low-Level Air Pollution: A Study Europe' (ELAPSE), we pooled data cohorts among six countries. Annual mean residential concentrations fine particulate matter (PM2.5), nitrogen dioxide...
Ambient air pollution is an established risk factor for premature mortality from chronic cardiovascular, respiratory and metabolic diseases, while evidence on neurodegenerative diseases psychiatric disorders remains limited. We examined the association between long-term exposure to dementia, disorders, suicide in seven European cohorts. Within multicenter project 'Effects of Low-Level Air Pollution: A Study Europe' (ELAPSE), we pooled data cohorts six countries. Based residential addresses,...
Abstract Aim This study examined sex-based differences in associations of vascular risk factors with incident cardiovascular events the UK Biobank. Methods Baseline participant demographic, clinical, laboratory, anthropometric, and imaging characteristics were collected. Multivariable Cox regression was used to estimate independent myocardial infarction (MI) ischaemic stroke for men women. Women-to-men ratios hazard (RHRs), related 95% confidence intervals, represent relative effect-size...
Electronic healthcare records (EHR) contain a huge wealth of data that can support the prediction clinical outcomes. EHR is often stored and analysed using codes (ICD10, SNOMED), however these differ across registries providers. Integrating systems involves mapping between different ontologies requiring domain expertise, at times resulting in loss. To overcome this, code-agnostic models have been proposed. We assess effectiveness representation approach on task long-term microvascular...
Developing artificial intelligence (AI) tools for healthcare is a collaborative effort, bringing data scientists, clinicians, patients and other disciplines together. In this paper, we explore the practices of research consortia tasked with applying AI to understand manage multiple long-term conditions in UK. Through an inductive thematic analysis 13 semi-structured interviews participants these consortia, aimed how collaboration happens based on used, communication processes settings, as...
<sec> <title>BACKGROUND</title> Digital health interventions are increasingly being used as a supplement or replacement for face-to-face services part of predictive prevention. They may be offered to those who at high risk cardiovascular disease and need improve their diet, increase physical activity, stop smoking, reduce alcohol consumption. Despite the popularity these interventions, there is no overall summary comparison effectiveness different modes delivery digital intervention inform...