Search Results - "Kelleher, John"
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A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology
Published in Journal of artificial societies and social simulation (01-06-2017)“…Agent-based simulation modelling has been used in many epidemiological studies on infectious diseases. However, because agent based modelling is a field…”
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Current Topics in Technology-Enabled Stroke Rehabilitation and Reintegration: A Scoping Review and Content Analysis
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2023)“…Background. There is a worldwide health crisis stemming from the rising incidence of various debilitating chronic diseases, with stroke as a leading…”
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A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
Published in Frontiers in neuroscience (28-02-2019)“…Brain vessel status is a promising biomarker for better prevention and treatment in cerebrovascular disease. However, classic rule-based vessel segmentation…”
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Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance
Published in Big data & society (01-01-2020)“…This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these…”
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Capturing and measuring thematic relatedness
Published in Language resources and evaluation (01-09-2020)“…In this paper we explain the difference between two aspects of semantic relatedness: taxonomic and thematic relations. We notice the lack of evaluation tools…”
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Using a hybrid agent-based and equation based model to test school closure policies during a measles outbreak
Published in BMC public health (12-03-2021)“…In order to be prepared for an infectious disease outbreak it is important to know what interventions will or will not have an impact on reducing the outbreak…”
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Examining the Limits of Predictability of Human Mobility
Published in Entropy (Basel, Switzerland) (24-04-2019)“…We challenge the upper bound of human-mobility predictability that is widely used to corroborate the accuracy of mobility prediction models. We observe that…”
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A review of risk concepts and models for predicting the risk of primary stroke
Published in Frontiers in neuroinformatics (15-11-2022)“…Predicting an individual's risk of primary stroke is an important tool that can help to lower the burden of stroke for both the individual and society. There…”
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Age Specific Models to Capture the Change in Risk Factor Contribution by Age to Short Term Primary Ischemic Stroke Risk
Published in Frontiers in neurology (17-02-2022)“…Age is one of the most important risk factors when it comes to stroke risk prediction. However, including age as a risk factor in a stroke prediction model can…”
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Validating and Testing an Agent-Based Model for the Spread of COVID-19 in Ireland
Published in Algorithms (01-08-2022)“…Agent-based models can be used to better understand the impacts of lifting restrictions or implementing interventions during a pandemic. However, agent-based…”
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Assessing the relative importance of vitamin D deficiency in cardiovascular health
Published in Frontiers in cardiovascular medicine (16-10-2024)“…Previous research has suggested a potential link between vitamin D (VD) deficiency and adverse cardiovascular health outcomes, although the findings have been…”
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A Model for the Spread of Infectious Diseases in a Region
Published in International journal of environmental research and public health (30-04-2020)“…In understanding the dynamics of the spread of an infectious disease, it is important to understand how a town's place in a network of towns within a region…”
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Long-term trajectories of community integration: identification, characterization, and prediction using inpatient rehabilitation variables
Published in Topics in stroke rehabilitation (03-10-2023)“…Community integration (CI) is often regarded as the foundation of rehabilitation endeavors after stroke; nevertheless, few studies have investigated the…”
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Predictors of social risk for post-ischemic stroke reintegration
Published in Scientific reports (02-05-2024)“…After stroke rehabilitation, patients need to reintegrate back into their daily life, workplace and society. Reintegration involves complex processes depending…”
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Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases
Published in Journal of artificial societies and social simulation (01-10-2018)“…Socioeconomic status can have an important effect on health. In this paper we: (i) propose using house price data as a publicly available proxy for…”
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Determining the Proportionality of Ischemic Stroke Risk Factors to Age
Published in Journal of cardiovascular development and disease (23-01-2023)“…While age is an important risk factor, there are some disadvantages to including it in a stroke risk model: age can dominate the risk score and lead to over-…”
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Adapting an Agent-Based Model of Infectious Disease Spread in an Irish County to COVID-19
Published in Systems (Basel) (01-06-2021)“…The dynamics that lead to the spread of an infectious disease through a population can be characterized as a complex system. One way to model such a system, in…”
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Multi-task learning for predicting quality-of-life and independence in activities of daily living after stroke: a proof-of-concept study
Published in Frontiers in neurology (27-09-2024)“…A health-related (HR) profile is a set of multiple health-related items recording the status of the patient at different follow-up times post-stroke. In order…”
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Correction: An open-data-driven agent-based model to simulate infectious disease outbreaks
Published in PloS one (17-01-2019)“…[This corrects the article DOI: 10.1371/journal.pone.0208775.]…”
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An open-data-driven agent-based model to simulate infectious disease outbreaks
Published in PloS one (19-12-2018)“…Agent-based models are a tool that can be used to better understand the dynamics of an infectious disease outbreak. An infectious disease outbreak is…”
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