A5004720774- Machine Learning in Healthcare
- Emergency and Acute Care Studies
- Sepsis Diagnosis and Treatment
- Urban Planning and Governance
- Disaster Response and Management
- Cultural Industries and Urban Development
- Healthcare Technology and Patient Monitoring
- Data-Driven Disease Surveillance
- Urban and Rural Development Challenges
- Scottish History and National Identity
- COVID-19 Clinical Research Studies
- Housing, Finance, and Neoliberalism
- Healthcare Operations and Scheduling Optimization
- Electronic Health Records Systems
- Clinical Reasoning and Diagnostic Skills
- Mobile Health and mHealth Applications
- Respiratory Support and Mechanisms
- Thermal Regulation in Medicine
- Long-Term Effects of COVID-19
- Explainable Artificial Intelligence (XAI)
- Healthcare innovation and challenges
- Time Series Analysis and Forecasting
- Rural development and sustainability
- Digital Mental Health Interventions
- Ecology and Vegetation Dynamics Studies
University of Bristol
2016-2025
University Hospitals Bristol NHS Foundation Trust
2019-2025
University Hospitals Bristol and Weston NHS Foundation Trust
2021-2025
National Health Service
2022
Health Data Research UK
2021
University of Bath
2021
Heriot-Watt University
2008-2020
Urban Institute
2016
Heriot-Watt University Malaysia
2006-2014
Merck & Co., Inc., Rahway, NJ, USA (United States)
2001-2006
Abstract Background The National Early Warning Score (NEWS2) is currently recommended in the UK for risk stratification of COVID-19 patients, but little known about its ability to detect severe cases. We aimed evaluate NEWS2 prediction outcome and identify validate a set blood physiological parameters routinely collected at hospital admission improve upon use alone medium-term stratification. Methods Training cohorts comprised 1276 patients admitted King’s College Hospital Health Service...
Significance Extracellular concentrations convey information to cells about their environment. To sense these signals, use biomolecular networks that exhibit inevitable cell-to-cell variability and basal activity. Basal activity is widespread under physiological conditions (with phenotypic consequences), often raised in disease, can eradicate the transfer of information. In an experimental study ERK signaling by single exhibiting heterogeneous expression activity, we verify our central...
Managing healthcare demand and capacity is especially difficult in the context of COVID-19 pandemic, where limited intensive care resources can be overwhelmed by a large number cases requiring admission short space time. If patients are unable to access this specialist resource, then death likely outcome. In appreciating these 'capacity-dependent' deaths, paper reports on clinically-led development stochastic discrete event simulation model designed capture key dynamics admissions process...
Objective The primary objective is to develop an automated method for detecting patients that are ready discharge from intensive care. Design We used two datasets of routinely collected patient data test and improve on a set previously proposed criteria. Setting Bristol Royal Infirmary general care unit (GICU). Patients Two cohorts derived historical datasets: 1870 GICU in Bristol, 7592 Medical Information Mart Intensive Care (MIMIC)-III. Results In both few successfully discharged met all...
Habitat loss (HL) affects species and their interactions, ultimately altering community dynamics. Yet, a challenge for ecology is to understand how communities with multiple interaction types-hybrid communities-respond HL prior extinctions. To this end, we develop model investigate the response of hybrid terrestrial two types HL: random contiguous. Our reveals changes in stability-temporal variability population abundances-that are dependent on spatial configuration HL. findings highlight...
This paper seeks to recognize the importance of understanding current formal and informal regulatory frameworks that shape process land-use decision-making in countries South order facilitate civil society participation. The case Syria is examined, where analysis was conducted identify key social actors forms relationships between them. To understand position examine possibilities increase its effect within examined urban development governance a objective. In addition, need capacity needs...
Abstract Background The National Early Warning Score (NEWS2) is currently recommended in the United Kingdom for risk stratification of COVID outcomes, but little known about its ability to detect severe cases. We aimed evaluate NEWS2 outcome and identify validate a set routinely-collected blood physiological parameters taken at hospital admission improve score. Methods Training cohorts comprised 1276 patients admitted King’s College Hospital NHS Foundation Trust with COVID-19 disease from 1...
Background Increasing use of computational methods in health care provides opportunities to address previously unsolvable problems. Machine learning techniques applied routinely collected data can enhance clinical tools and improve patient outcomes, but their effective deployment comes with significant challenges. While some tasks be addressed by training machine models directly on the data, more complex problems require additional input form annotations. Data annotation is a time-consuming...
Abstract Purpose Assessing risk factors and creating prediction models from real-world medical data is challenging, requiring numerous modelling decisions with clinical guidance. Logistic regression a common model for such studies, which we advocate the use of Bayesian methods that can jointly deliver probabilistic factor inference prediction. As an exemplar, compare logistic horseshoe priors Projective Prediction variable selection established frequentist LASSO approach, to predict severe...
Globally, cities have been experiencing neoliberal urbanization processes since the 1970s, while also contributing to production of condition per se. The state plays a core role in such processes, which deepened commodification urban space via various mechanisms as privatization public land and key infrastructure. This article critically investigates direct involvement by focusing on its triple restructuring mechanism, developer volume housing Turkey. research develops applies theoretical...
.Resisting the temptation to view neoliberalization of urban policy as unidirectional, pure and hegemonic, this article sets out make sense biography process in one city particular, Glasgow. It attempts organize, marshall discipline existing literature on city's local economic, planning welfare policies, so offer a longitudinal reading Glasgow's encounter with neoliberal reform across period 1977 present. The questions whether new political‐economic dispensation is capable stabilizing...
Background During the COVID-19 pandemic, many intensive care units have been overwhelmed by unprecedented levels of demand. Notwithstanding ethical considerations, prioritization patients with better prognoses may support a more effective use available capacity in maximizing aggregate outcomes. This has prompted various proposed triage criteria, although none these an objective assessment made terms impact on number lives and life-years saved. Design An open-source computer simulation model...
A pilot scale whole cell process was developed for the enantioselective 1,2-reduction of prochiral alpha,beta-unsaturated ketone to (R) allylic alcohol using Candida chilensis. Initial development showed high enantiomeric excess (EE > 95%) but low product yield (10%). Process development, a combination statistically designed screening and optimization experiments, improved desired 90%. The fermentation growth stage, particularly medium composition pH, had significant impact on bioconversion...
Dashboards and interactive displays are becoming increasingly prevalent in most health care settings have the potential to streamline access information, consolidate disparate data sources deliver new insights. Our research focuses on intensive units (ICUs) which heavily instrumented, critical environments that generate vast amounts of frequently require individualized support for each patient. Consequently, clinicians experience a high cognitive load, can translate suboptimal performance....
<title>Abstract</title> Background: COVID-19 reinfections are common worldwide. Long COVID is a serious infection-associated chronic condition and major public health concern. Using patient-centered approach, we characterized the association between COVID. Methods: We developed disseminated internationally online survey examining outcomes of reinfections. The incorporated validated instruments on fatigue, post-exertional malaise, physical function with questions about infection history,...
The numbers of urban poor are increasing in the cities Bangladesh. Formal planning approaches derived from experience global North have largely failed to tackle consequent poverty challenges South. This study provides new policy directions for pro-poor Bangladesh through a case Khulna city. analyses secondary data on city and interviews representatives poor, politicians, administrators, academics, professionals gain deeper more nuanced understanding about pro-poorness current policies....
This paper seeks to evaluate critically the extent which there is community involvement in construction and delivery of urban policy under New Labour, through a case study Greater Pollok Social Inclusion Partnership. The concentrates on Scottish experience, but its lessons resonate more widely. Its key finding that, for all rhetoric Labour involvement, degree it has occurred practice little different level Conservative initiatives. argues that processes consultation participation during...
Background Intensive care units (ICUs) around the world are in high demand due to patients with COVID-19 requiring hospitalization. As researchers at University of Bristol, we were approached develop a bespoke data visualization dashboard assist two local ICUs during pandemic that will centralize disparate sources ICU help reduce cognitive load on busy staff ever-evolving pandemic. Objective The aim this study was conduct interviews Hospitals Bristol and Weston National Health Service...
<ns4:p>In this data note we provide the details of a research database 4831 adult intensive care patients who were treated in Bristol Royal Infirmary, UK between 2015 and 2019. The purposes publication are to describe dataset for external researchers may be interested making use it, detail methods used curate order help other units make secondary their routinely collected data. curation involves linkage two critical datasets within our hospital accompanying code is available online. For...
This paper examines the asset vulnerability and livelihood strategies of refugees urban poor in slum settlements Dar es Salaam, Tanzania. The Asset Vulnerability Framework is used as analytical framework how household's assets are affected by vulnerability. Using qualitative analysis, factors which impact on both groups examined. focuses five main indicated Moser, while conceptualising further populations aspire to accumulate, necessary for them prosper – rights, this case Right City. paper,...
We present a pipeline in which machine learning techniques are used to automatically identify and evaluate subtypes of hospital patients admitted between 2017 2021 large UK teaching hospital. Patient clusters determined using routinely collected data, such as those the UK’s National Early Warning Score 2 (NEWS2). An iterative, hierarchical clustering process was minimum set relevant features for cluster separation. With use state-of-the-art explainability techniques, identified interpreted...
This paper seeks to address a number of important questions that arise from contemporary urban policy developments within Scotland. First, how far the recent and developing policies, most noticeably Social Inclusion Partnerships, Scottish Executive are influenced by or diverge strategies pursued previous Conservative Labour governments. Secondly, social policy, in context, continues be characterised discourses area/community pathology. In order contextualise these issues, will begin with...