All Outputs (2)

Using a machine learning model to risk stratify for the presence of significant liver disease in a primary care population (2023)
Journal Article
Bennett, L., Mostafa, M., Hammersley, R., Purssell, H., Patel, M., Street, O., …Guha, I. N. (2023). Using a machine learning model to risk stratify for the presence of significant liver disease in a primary care population. Journal of Medical Artificial Intelligence, 6, Article 27. https://doi.org/10.21037/jmai-23-35

Background: Current strategies for detecting significant chronic liver disease (CLD) in the community are based on the extrapolation of diagnostic tests used in secondary care settings. Whilst this approach provides clinical utility, it has limitatio... Read More about Using a machine learning model to risk stratify for the presence of significant liver disease in a primary care population.

Mortality rates among patients successfully treated for hepatitis C in the era of interferon-free antivirals: population based cohort study (2023)
Journal Article
Hamill, V., Wong, S., Benselin, J., Krajden, M., Hayes, P. C., Mutimer, D., …Innes, H. (2023). Mortality rates among patients successfully treated for hepatitis C in the era of interferon-free antivirals: population based cohort study. BMJ, 382, Article e074001. https://doi.org/10.1136/bmj-2022-074001

Objectives To quantify mortality rates for patients successfully treated for hepatitis C in the era of interferon-free, direct acting antivirals and compare these rates with those of the general population. Design Population based cohort study.... Read More about Mortality rates among patients successfully treated for hepatitis C in the era of interferon-free antivirals: population based cohort study.