Outputs (7)

Differential behaviour of a risk score for emergency hospital admission by demographics in Scotland—A retrospective study (2024)
Journal Article
Thoma, I., Rogers, S., Ireland, J., Porteous, R., Borland, K., Vallejos, C. A., Aslett, L. J. M., & Liley, J. (2024). Differential behaviour of a risk score for emergency hospital admission by demographics in Scotland—A retrospective study. PLoS Digital Health, 3(12), Article e0000675. https://doi.org/10.1371/journal.pdig.0000675

The Scottish Patients at Risk of Re-Admission and Admission (SPARRA) score predicts individual risk of emergency hospital admission for approximately 80% of the Scottish population. It was developed using routinely collected electronic health records... Read More about Differential behaviour of a risk score for emergency hospital admission by demographics in Scotland—A retrospective study.

Development and assessment of a machine learning tool for predicting emergency admission in Scotland (2024)
Journal Article
Liley, J., Bohner, G., Emerson, S., Mateen, B., Borland, K., Carr, D., Heald, S., Oduro, S., Ireland, J., Moffat, K., Porteous, R., Riddell, S., Cunningham, N., Holmes, C., Payne, K., Vollmer, S., Vallejos, C., & Aslett, L. (2024). Development and assessment of a machine learning tool for predicting emergency admission in Scotland. Nature, 7, Article 277. https://doi.org/10.1038/s41746-024-01250-1

Emergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and public... Read More about Development and assessment of a machine learning tool for predicting emergency admission in Scotland.

Holdout Sets for Safe Predictive Model Updating (2024)
Journal Article
Haidar-Wehbe, S., Emerson, S. R., Aslett, L. J., & Liley, J. (in press). Holdout Sets for Safe Predictive Model Updating. Annals of Applied Statistics,

Predictive risk scores for adverse outcomes are increasingly crucial in guiding health interventions. Such scores may need to be periodically updated due to change in the distributions they model. However, directly updating risk scores used to guide... Read More about Holdout Sets for Safe Predictive Model Updating.

Ethical considerations of use of hold-out sets in clinical prediction model management (2024)
Journal Article
Chislett, L., Aslett, L. J. M., Davies, A. R., Vallejos, C. A., & Liley, J. (online). Ethical considerations of use of hold-out sets in clinical prediction model management. AI and Ethics, https://doi.org/10.1007/s43681-024-00561-z

Clinical prediction models are statistical or machine learning models used to quantify the risk of a certain health outcome using patient data. These can then inform potential interventions on patients, causing an effect called performative predictio... Read More about Ethical considerations of use of hold-out sets in clinical prediction model management.

Data-driven subclassification of ANCA-associated vasculitis: model-based clustering of a federated international cohort. (2024)
Journal Article
Gisslander, K., White, A., Aslett, L., Hrušková, Z., Lamprecht, P., Musiał, J., Nazeer, J., Ng, J., O'Sullivan, D., Puéchal, X., Rutherford, M., Segelmark, M., Terrier, B., Tesař, V., Tesi, M., Vaglio, A., Wójcik, K., Little, M. A., & Mohammad, A. J. (online). Data-driven subclassification of ANCA-associated vasculitis: model-based clustering of a federated international cohort. The Lancet Rheumatology, S2665-9913(24)00187-5. https://doi.org/10.1016/S2665-9913%2824%2900187-5

Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis is a heterogenous autoimmune disease. While traditionally stratified into two conditions, granulomatosis with polyangiitis (GPA) and microscopic polyangiitis (MPA), the subclassificatio... Read More about Data-driven subclassification of ANCA-associated vasculitis: model-based clustering of a federated international cohort..

Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis (2024)
Journal Article
Scott, J., White, A., Walsh, C., Aslett, L., Rutherford, M. A., Ng, J., …Little, M. A. (2024). Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis. RMD Open, 10(2), Article e003962. https://doi.org/10.1136/rmdopen-2023-003962

Objective: ANCA-associated vasculitis (AAV) is a relapsing-remitting disease, resulting in incremental tissue injury. The gold-standard relapse definition (Birmingham Vasculitis Activity Score, BVAS>0) is often missing or inaccurate in registry setti... Read More about Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis.

kalis: a modern implementation of the Li & Stephens model for local ancestry inference in R (2024)
Journal Article
Aslett, L. J. M., & Christ, R. R. (2024). kalis: a modern implementation of the Li & Stephens model for local ancestry inference in R. BMC Bioinformatics, 25(1), Article 86. https://doi.org/10.1186/s12859-024-05688-8

Background: Approximating the recent phylogeny of N phased haplotypes at a set of variants along the genome is a core problem in modern population genomics and central to performing genome-wide screens for association, selection, introgression, and o... Read More about kalis: a modern implementation of the Li & Stephens model for local ancestry inference in R.