Outputs (8)

Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique (2022)
Journal Article
Moezzi, S. A. R., Ghaedi, A., Rahmanian, M., Mousavi, S. Z., & Sami, A. (2023). Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique. Journal of Digital Imaging, 36(1), 80-90. https://doi.org/10.1007/s10278-022-00692-x

Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficult. In these circumstances, natural language processing (NLP) techniqu... Read More about Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique.

A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland (2022)
Journal Article
Darker, C. D., Burke, E., Castello, S., O'Sullivan, K., O'Connell, N., Vance, J., Reynolds, C., Buggy, A., Dougall, N., Loudon, K., Williams, P., Dobbie, F., Bauld, L., & Hayes, C. B. (2022). A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland. BMC Public Health, 22(1), Article 1528. https://doi.org/10.1186/s12889-022-13957-5

Background: Smoking poses a serious risk of early preventable death and disease especially for women living with socio-economic disadvantage (SED). A smoking cessation programme, ‘We Can Quit’, was developed in Ireland tailored to SED women. This inc... Read More about A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland.

Feasible approaches and implementation challenges to atrial fibrillation screening: a qualitative study of stakeholder views in 11 European countries (2022)
Journal Article
Engler, D., Hanson, C., Desteghe, L., Boriani, G., Diederichsen, S. Z., Freedman, B., Pala, E., Potpara, T. S., Witt, H., Heidbuchel, H., Neubeck, L., & Schnabel, R. (2022). Feasible approaches and implementation challenges to atrial fibrillation screening: a qualitative study of stakeholder views in 11 European countries. BMJ Open, 12(6), Article e059156. https://doi.org/10.1136/bmjopen-2021-059156

Objectives: Atrial fibrillation (AF) screening may increase early detection and reduce complications of AF. European, Australian and World Heart Federation guidelines recommend opportunistic screening, despite a current lack of clear evidence support... Read More about Feasible approaches and implementation challenges to atrial fibrillation screening: a qualitative study of stakeholder views in 11 European countries.

Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems (2022)
Journal Article
Zhao, H., Yu, H., & Peng, L. (2024). Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems, 35(1), 417-427. https://doi.org/10.1109/tnnls.2022.3174885

In this study, we investigate the event-triggering time-varying trajectory bipartite formation tracking problem for a class of unknown nonaffine nonlinear discrete-time multiagent systems (MASs). We first obtain an equivalent linear data model with a... Read More about Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems.

Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems. IEEE Transactions on Industrial Electronics, 70(4), 4068-4076. https://doi.org/10.1109/tie.2022.3174275

This paper studies the robust bipartite consensus problems for heterogeneous nonlinear nonaffine discrete-time multi-agent systems (MASs) with fixed and switching topologies against data dropout and unknown disturbances. At first, the controlled syst... Read More about Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems.

Spontaneous coronary artery dissection: a systematic review of physical and psychosocial recovery following discharge from hospital (2022)
Journal Article
Neubeck, L., McHale, S., Ross, M., MacGillvray, S., Galbraith, M., & Hanson, C. (2022). Spontaneous coronary artery dissection: a systematic review of physical and psychosocial recovery following discharge from hospital. European Journal of Cardiovascular Nursing, 21(7), 665-676. https://doi.org/10.1093/eurjcn/zvac009

Introduction
Spontaneous coronary artery dissection (SCAD) is increasingly recognised as an important cause of myocardial infarction, particularly among women. SCAD survivors may not know what physical activity is safe and effective and there may be... Read More about Spontaneous coronary artery dissection: a systematic review of physical and psychosocial recovery following discharge from hospital.

Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks. IEEE Transactions on Industrial Informatics, 19(4), 5377-5386. https://doi.org/10.1109/tii.2022.3157595

This paper studies fully distributed data-driven problems for nonlinear discrete-time multi-agent systems (MASs) with fixed and switching topologies preventing injection attacks. We first develop an enhanced compact form dynamic linearization model b... Read More about Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks.

Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis (2022)
Journal Article
Evans, K., Rennick-Egglestone, S., Cox, S., Kuipers, Y., & Spiby, H. (2022). Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis. Journal of Medical Internet Research, 24(2), Article e28093. https://doi.org/10.2196/28093

Background: Symptoms of anxiety are common in pregnancy, with severe symptoms associated with negative outcomes for women and babies. Low-level psychological therapy is recommended for women with mild to moderate anxiety, with the aim of preventing a... Read More about Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis.