Bayesian neural network approach for determining the risk of re-intervention after endovascular aortic aneurysm repair
O Attallah, X Ma - … of the Institution of Mechanical Engineers …, 2014 - journals.sagepub.com
This article proposes a Bayesian neural network approach to determine the risk of re-
intervention after endovascular aortic aneurysm repair surgery. The target of proposed …
intervention after endovascular aortic aneurysm repair surgery. The target of proposed …
Big data quality prediction informed by banking regulation
KY Wong, RK Wong - International Journal of Data Science and Analytics, 2021 - Springer
Big data has been transformed into knowledge by information systems to add value in
businesses. Enterprises relying on it benefit from risk management to a certain extent. The …
businesses. Enterprises relying on it benefit from risk management to a certain extent. The …
[PDF][PDF] Learning regulatory compliance data for data governance in financial services industry by machine learning models
KY Wong - 2021 - unsworks.unsw.edu.au
While regulatory compliance data has been governed in the financial services industry for a
long time to identify, assess, remediate and prevent risks, improving data governance (“DG”) …
long time to identify, assess, remediate and prevent risks, improving data governance (“DG”) …