Use of illness severity scores to predict mortality in interstitial lung disease patients hospitalised with acute respiratory deterioration (2023)
Journal Article
Williams, R. L., Hyams, C., Robertshaw, J., Garcia Gonzalez, M., Szasz-Benczur, Z., White, P., … Barratt, S. L. (in press). Use of illness severity scores to predict mortality in interstitial lung disease patients hospitalised with acute respiratory deterioration. Respiratory Medicine,

Introduction Hospitalisations relating to acute respiratory deteriorations (ARD) in Interstitial Lung Disease (ILD) have poor outcomes. Factors predicting adverse outcomes are not fully understood and data addressing the use of illness severity scor... Read More about Use of illness severity scores to predict mortality in interstitial lung disease patients hospitalised with acute respiratory deterioration.

Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions (2023)
Journal Article
Sikurajapathi, B., Henderson, K., & Gwynllyw, R. (2023). Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions. MSOR Connections, 21(Special Issue: CETL-MSOR Conference 2022 Part 1), 43-51. https://doi.org/10.21100/msor.v21i1

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). Thi... Read More about Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions.

Predictive models in emergency medicine and their missing data strategies: a systematic review (2023)
Journal Article
Arnaud, E., Elbattah, M., Ammirati, C., Dequen, G., & Ghazali, D. A. (2023). Predictive models in emergency medicine and their missing data strategies: a systematic review. npj Digital Medicine, 6(1), 28. https://doi.org/10.1038/s41746-023-00770-6

In the field of emergency medicine (EM), the use of decision support tools based on artificial intelligence has increased markedly in recent years. In some cases, data are omitted deliberately and thus constitute “data not purposely collected” (DNPC)... Read More about Predictive models in emergency medicine and their missing data strategies: a systematic review.

Real world prospective evaluation of clinical outcomes in patients with non-metastatic castrate resistant prostate cancer treated with darolutamide (2023)
Journal Article
Challapali, A., Rennison, E., White, P., Elumalai, T., Parikh, O., Vickers, A., …Bahl, A. (in press). Real world prospective evaluation of clinical outcomes in patients with non-metastatic castrate resistant prostate cancer treated with darolutamide. Journal of Clinical Oncology, 41(no. 6_suppl), 335 - 335. https://doi.org/10.1200/JCO.2023.41.6_suppl.335

Background: The RECORD Study is a real world data, prospective evaluation of clinical outcomes in patients with nmCRPC treated with Darolutamide. This study will increase the understanding of treatment response and management and in particular inform... Read More about Real world prospective evaluation of clinical outcomes in patients with non-metastatic castrate resistant prostate cancer treated with darolutamide.

The Bristol Bladder Trial: Five year outcomes in patients treated with neoadjuvant cabazitaxel and cisplatin chemotherapy for muscle invasive transitional cell carcinoma of the urinary bladder (2023)
Journal Article
Challapalli, A., White, P., Masson, S., Foulstone, E., Renninson, E., Bravo, A., …Bahl, A. (2023). The Bristol Bladder Trial: Five year outcomes in patients treated with neoadjuvant cabazitaxel and cisplatin chemotherapy for muscle invasive transitional cell carcinoma of the urinary bladder. Journal of Clinical Oncology, 41(no. 6_suppl), 493-493. https://doi.org/10.1200/JCO.2023.41.6_suppl.493

Background: Neoadjuvant cisplatin-based combination chemotherapy (NAC) improves survival in muscle invasive bladder cancer (MIBC). However, response rates and survival remain suboptimal. We sought to evaluate the efficacy of cabazitaxel with cisplati... Read More about The Bristol Bladder Trial: Five year outcomes in patients treated with neoadjuvant cabazitaxel and cisplatin chemotherapy for muscle invasive transitional cell carcinoma of the urinary bladder.

Applications of machine learning methods to assist the diagnosis of autism spectrum disorder (2023)
Book Chapter
Elbattah, M., Carette, R., Cilia, F., Guérin, J., & Dequen, G. (2023). Applications of machine learning methods to assist the diagnosis of autism spectrum disorder. In Neural Engineering Techniques for Autism Spectrum Disorder, Volume 2 (99-119). Elsevier. https://doi.org/10.1016/b978-0-12-824421-0.00013-8

Autism spectrum disorder (ASD) is a lifelong neuro-developmental disorder that is generally marked by a set of communication and social impairments. The early diagnosis of autism is genuinely beneficial for the welfare of children and parents as well... Read More about Applications of machine learning methods to assist the diagnosis of autism spectrum disorder.

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.

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.

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), 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.

Methods of Graph Decompositions (2022)
Book
Zverovich, V., & Skums, P. (in press). Methods of Graph Decompositions. UK: Oxford University Press

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. (in press). 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, 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.