Clinical decision support systems (CDSSs) have been proposed to address these challenges; however, current literature reveals significant heterogeneity and gaps in CDSSs used for hypertension ...
Abstract: When it comes to the marriage of graph neural networks (GNNs) and model extraction attacks, the deployment of GNNs within Machine Learning as a Service (MLaaS) through a publicly ...
Background: Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear ...
Abstract: Data analytics can help drive decision-making and improve patient outcomes in healthcare. But of course, healthcare data is complex, and the process to access & analyze it can be slow. Here, ...
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