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Learning embeddings from free-text triage notes using pretrained transformer models (2022)
Conference Proceeding
Arnaud, É., Elbattah, M., Gignon, M., & Dequen, G. (2022). Learning embeddings from free-text triage notes using pretrained transformer models. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (835-841). https://doi.org/10.5220/0011012800003123

The advent of transformer models has allowed for tremendous progress in the Natural Language Processing (NLP) domain. Pretrained transformers could successfully deliver the state-of-the-art performance in a myriad of NLP tasks. This study presents an... Read More about Learning embeddings from free-text triage notes using pretrained transformer models.

Review of the partially overlapping samples framework: Paired observations and independent observations in two samples (2022)
Journal Article
Derrick, B., & White, P. (2022). Review of the partially overlapping samples framework: Paired observations and independent observations in two samples. Quantitative Methods for Psychology, 18(1), 55-65. https://doi.org/10.20982/tqmp.18.1.p055

A frequently asked question in quantitative research is how to compare two samples that include some combination of paired observations and unpaired observations. In our publications and R package, we refer to the scenario as ‘partially overlapping... Read More about Review of the partially overlapping samples framework: Paired observations and independent observations in two samples.

Eye-tracking dataset to support the research on autism spectrum disorder (2022)
Conference Proceeding
Cilia, F., Carette, R., Elbattah, M., Guérin, J., & Dequen, G. (2022). Eye-tracking dataset to support the research on autism spectrum disorder. In Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare (59-64). https://doi.org/10.5220/0011540900003523

The availability of data is a key enabler for researchers across different disciplines. However, domains, such as healthcare, are still fundamentally challenged by the paucity and imbalance of datasets. Health data could be inaccessible due to a vari... Read More about Eye-tracking dataset to support the research on autism spectrum disorder.

Vision-based approach for autism diagnosis using transfer learning and eye-tracking (2022)
Conference Proceeding
Elbattah, M., Guérin, J., Carette, R., Cilia, F., & Dequen, G. (2022). Vision-based approach for autism diagnosis using transfer learning and eye-tracking. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF (256-263). https://doi.org/10.5220/0010975500003123

The potentials of Transfer Learning (TL) have been well-researched in areas such as Computer Vision and Natural Language Processing. This study aims to explore a novel application of TL to detect Autism Spectrum Disorder. We seek to develop an approa... Read More about Vision-based approach for autism diagnosis using transfer learning and eye-tracking.

Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins (2022)
Journal Article
Maqsood, Z., Clark, J. C., Martin, E. M., Cheung, Y. F. H., Morán, L. A., Watson, S. E. T., …Watson, S. P. (2022). Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins. PLoS Computational Biology, 18(11), Article e1010708. https://doi.org/10.1371/journal.pcbi.1010708

The clustering of platelet glycoprotein receptors with cytosolic YxxL and YxxM motifs, including GPVI, CLEC-2 and PEAR1, triggers activation via phosphorylation of the conserved tyrosine residues and recruitment of the tandem SH2 (Src homology 2) dom... Read More about Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins.

BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam (2022)
Journal Article
Naddell, S., Manuel, M., Cavill, R., White, P., & Sieradzan, K. (2023). BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam. Epilepsy and Behavior, 138, 108985. https://doi.org/10.1016/j.yebeh.2022.108985

Objective: Via measures of efficacy, tolerability, and safety, this open-label, single-center study assessed the overall effectiveness of Brivaracetam (BRV) for the treatment of epilepsy in the context of ‘real-world’ clinical practice. Methods: Unse... Read More about BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam.

Risk of disclosure when reporting commonly used univariate statistics (2022)
Conference Proceeding
Derrick, B., Green, E., Ritchie, F., & White, P. (2022). Risk of disclosure when reporting commonly used univariate statistics. In Lecture Notes in Computer Science (119-129). https://doi.org/10.1007/978-3-031-13945-1_9

When basic or descriptive summary statistics are reported, it may be possible that the entire sample of observations is inadvertently disclosed, or that members within a sample will be able to work out responses of others. Three sets of univariate su... Read More about Risk of disclosure when reporting commonly used univariate statistics.

A collaboratively-derived research agenda for e-assessment in undergraduate mathematics (2022)
Journal Article
Kinnear, G., Jones, I., Sangwin, C., Alarfaj, M., Davies, B., Fearn, S., …Wong, T. (in press). A collaboratively-derived research agenda for e-assessment in undergraduate mathematics. International Journal of Research in Undergraduate Mathematics Education, https://doi.org/10.1007/s40753-022-00189-6

This paper describes the collaborative development of an agenda for research on e-assessment in undergraduate mathematics. We built on an established approach to develop the agenda from the contributions of 22 mathematics education researchers, unive... Read More about A collaboratively-derived research agenda for e-assessment in undergraduate mathematics.

Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: The Avon Longitudinal Study of Parents and Children (2022)
Journal Article
Lacey, R. E., Gondek, D., Smith, B. J., Smith, A. D., Dunn, E. C., & Sacker, A. (2023). Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: The Avon Longitudinal Study of Parents and Children. Journal of Child Psychology and Psychiatry, 64(8), 1149-1158. https://doi.org/10.1111/jcpp.13699

Background: Maternal depression is a major determinant of offspring mental health. Yet, little is understood about how the duration and timing of maternal depression shapes youth risk for depressive symptoms, which if understood could inform when bes... Read More about Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: The Avon Longitudinal Study of Parents and Children.

Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions (2022)
Presentation / Conference
Sikurajapathi, I., Henderson, K., & Gwynllyw, R. (2022, September). Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions. Presented at Continuing Excellence in Teaching and Learning in Mathematics, Statistics and Operational Research conference (CETL-MSOR-2022), Abertay University, Dundee , Scotland

Students may arrive at an incorrect answer when answering a mathematical question due to several reasons, such as random errors, calculation errors or misreading the question. Such errors are sometimes referred to as Common Student Errors (CSEs). Se... Read More about Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions.

Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification (2022)
Journal Article
Sikurajapathi, I., Henderson, K., & Gwynllyw, R. (2022). Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification. MSOR Connections, 20(3), 55-71. https://doi.org/10.21100/msor.v20i3.1345

This article gives an overview of the interactive book called ‘Collection of Taxonomically Classified Mathematical Common Student Errors in e-Assessments (CSE Book)’ which has been produced as a result of the Common Student Errors Project (CSE Projec... Read More about Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification.

Use of artificial intelligence to manage patient flow in emergency department during the COVID-19 pandemic: A prospective, single-center study (2022)
Journal Article
Arnaud, E., Elbattah, M., Ammirati, C., Dequen, G., & Ghazali, D. A. (2022). Use of artificial intelligence to manage patient flow in emergency department during the COVID-19 pandemic: A prospective, single-center study. International Journal of Environmental Research and Public Health, 19(15), e9667. https://doi.org/10.3390/ijerph19159667

BACKGROUND: During the coronavirus disease 2019 (COVID-19) pandemic, calculation of the number of emergency department (ED) beds required for patients with vs. without suspected COVID-19 represented a real public health problem. In France, Amiens Pic... Read More about Use of artificial intelligence to manage patient flow in emergency department during the COVID-19 pandemic: A prospective, single-center study.

Examining the epigenetic mechanisms of childhood adversity and sensitive periods: A gene set-based approach (2022)
Journal Article
Zhu, Y., Lussier, A. A., Smith, A. D. A. C., Simpkin, A. J., Suderman, M. J., Walton, E., …Dunn, E. C. (2022). Examining the epigenetic mechanisms of childhood adversity and sensitive periods: A gene set-based approach. Psychoneuroendocrinology, 144(October 2022), 105854. https://doi.org/10.1016/j.psyneuen.2022.105854

Background: Sensitive periods are developmental stages of heightened plasticity when life experiences, including exposure to childhood adversity, have the potential to exert more lasting impacts. Epigenetic mechanisms, including DNA methylation (DNAm... Read More about Examining the epigenetic mechanisms of childhood adversity and sensitive periods: A gene set-based approach.

Medium term results of the cementless Oxford mobile bearing medial unicompartmental knee replacement (2022)
Journal Article
Manara, J. R., Group, T. B. K., White, P., Bray, R., Davies, H., Eldridge, J., …Murray, J. (2023). Medium term results of the cementless Oxford mobile bearing medial unicompartmental knee replacement. European Journal of Orthopaedic Surgery and Traumatology, 33, 1335–1340. https://doi.org/10.1007/s00590-022-03289-w

Abstract Background Medial Unicompartmental Knee Replacement (UKR) has well-documented benefits over Total Knee Replace- ment in the treatment of anteromedial osteoarthritis of the knee. There has been an increasing move from cemented to cementl... Read More about Medium term results of the cementless Oxford mobile bearing medial unicompartmental knee replacement.

Nasointestinal tube placement: Techniques that increase success (2022)
Journal Article
Taylor, S., Sayer, K., & White, P. (2023). Nasointestinal tube placement: Techniques that increase success. Journal of the Intensive Care Society, 24(1), 62-70. https://doi.org/10.1177/17511437221095336

Background: Delayed gastric emptying (DGE) is a major cause of undernutrition that can be overcome using nasointestinal (NI) feeding, but tube placement often fails. We analyse which techniques enable successful NI tube placement. Methods: Efficacy o... Read More about Nasointestinal tube placement: Techniques that increase success.

Sensitive periods for the effect of childhood adversity on DNA methylation: Updated results from a prospective, longitudinal study (2022)
Journal Article
Lussier, A. A., Zhu, Y., Smith, B. J., Simpkin, A. J., Smith, A. D. A. C., Suderman, M. J., …Dunn, E. C. (2023). Sensitive periods for the effect of childhood adversity on DNA methylation: Updated results from a prospective, longitudinal study. Biological Psychiatry: Global Open Science, 3(3), 567-571. https://doi.org/10.1016/j.bpsgos.2022.04.002

Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation (2022)
Presentation / Conference
Derrick, B., Green, E., Kember, K., Ritchie, F., & White, P. (2022, April). Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation. Paper presented at Scottish Economic Society, Glasgow

Reporting the sample mean, sample standard deviation and sample size could in some cases lead to the unique identification of the underpinning sample. The likelihood of this reveal via direct enumeration of the possible search space decreases with i... Read More about Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation.

Disclosure risks in odds ratios and logistic regression (2022)
Presentation / Conference
Derrick, B., Green, E., Ritchie, F., & White, P. (2022, April). Disclosure risks in odds ratios and logistic regression. Paper presented at Scottish Economic Society Annual Conference 2022: Special session 'Protecting confidentiality in social science research outputs', Glasgow

When publishing statistics from confidential data, there exists a risk that the statistic might inadvertently reveal confidential information. Statistical disclosure control (SDC) aims to reduce that risk to an acceptable level. Most SDC theory is co... Read More about Disclosure risks in odds ratios and logistic regression.

Statistical modeling of sensitive period effects using the structured life course modelling approach (SLCMA) (2022)
Book Chapter
Smith, B. J., Smith, A. D., & Dunn, E. C. (2022). Statistical modeling of sensitive period effects using the structured life course modelling approach (SLCMA). In Sensitive Periods of Brain Development and Preventive Interventions (215-234). Springer. https://doi.org/10.1007/7854_2021_280

Sensitive periods are times during development when life experiences can have a greater impact on outcomes than at other periods during the life course. However, a dearth of sophisticated methods for studying time-dependent exposure-outcome relations... Read More about Statistical modeling of sensitive period effects using the structured life course modelling approach (SLCMA).