Dr Will Jones' Outputs (5)

One-class support vector machines for detecting population drift in deployed machine learning medical diagnostics (2025)
Journal Article
Jones, W. S., & Farrow, D. J. (2025). One-class support vector machines for detecting population drift in deployed machine learning medical diagnostics. Scientific reports, 15(1), Article 12157. https://doi.org/10.1038/s41598-025-94427-x

Machine learning (ML) models are increasingly being applied to diagnose and predict disease, but face technical challenges such as population drift, where the training and real-world deployed data distributions differ. This phenomenon can degrade mod... Read More about One-class support vector machines for detecting population drift in deployed machine learning medical diagnostics.

Can we trust published evidence on point-of-care tests for cholesterol? A rapid review (2025)
Journal Article
Mutepfa, C. C., Hicks, T. P., Winter, A., Dickinson, R. E., Williams, C., Harrison, N., Chidanyika, J., Newton, J. L., Jones, W. S., & Suklan, J. (2025). Can we trust published evidence on point-of-care tests for cholesterol? A rapid review. BMJ open, 15(3), Article e080726. https://doi.org/10.1136/bmjopen-2023-080726

Objectives There is a need to better inform clinicians and decision-makers in primary or community care settings on selecting the appropriate point-of-care tests (POCTs) for screening purposes (as a part of the NHS Health Check Programme). Here we pr... Read More about Can we trust published evidence on point-of-care tests for cholesterol? A rapid review.

Women’s perspectives of molecular breast imaging: a qualitative study: Epidemiology (2024)
Journal Article
Elliott, H., Allen, A. J., Forester, N. D., Graziadio, S., Jones, W. S., Lendrem, B. C., Pearce, M. S., Powell, T., Scott, J., & Bray, A. (2025). Women’s perspectives of molecular breast imaging: a qualitative study: Epidemiology. The British Journal of Cancer, 132, 276-282. https://doi.org/10.1038/s41416-024-02930-1

Background: Mammography has poor sensitivity in dense breast tissue. Retrospective studies suggest that Molecular Breast Imaging (MBI), has superior diagnostic accuracy to mammography in women with very dense breast tissue. Women’s perspectives of MB... Read More about Women’s perspectives of molecular breast imaging: a qualitative study: Epidemiology.

Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring (2024)
Presentation / Conference Contribution
Mishra, B. K., Thakker, D., John, R., Kureshi, R. R., Ahmad, B., Jones, W., & Li, X. (2023, December). Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE

Air pollution appears in the form of outdoor air quality and indoor air quality (IAQ). Particulate Matters (PM2.5 and PM10) and CO2, among many air pollutants, are responsible for worsening IAQ. IAQ has been linked to lung illnesses such as asthma, c... Read More about Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring.

Patient Self-Testing of Kidney Function at Home, a Prospective Clinical Feasibility Study in Kidney Transplant Recipients (2023)
Journal Article
Murray, J. S., Williams, C. J., Lendrem, C., Smithson, J., Allinson, C., Robinson, J., Walker, A., Winter, A., Simpson, A. J., Newton, J., Wroe, C., & Jones, W. S. (2023). Patient Self-Testing of Kidney Function at Home, a Prospective Clinical Feasibility Study in Kidney Transplant Recipients. Kidney International Reports, 8(6), 1170-1182. https://doi.org/10.1016/j.ekir.2023.03.003

Introduction
People with long-term health conditions often attend clinics for kidney function tests. The Self-Testing Own Kidneys (STOK) study assessed feasibility of kidney transplant recipients using hand-held devices to self-test kidney function... Read More about Patient Self-Testing of Kidney Function at Home, a Prospective Clinical Feasibility Study in Kidney Transplant Recipients.