<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
	<longdescription>
		Cyber-Resilient Bayesian Healthcare Surveillance Framework //
		Provides methods for healthcare performance surveillance using
		Bayesian risk estimation, latent organisational trust
		modelling, cyber-resilience assessment, external validation,
		decision-theoretic optimisation, and digital-twin deployment
		simulation. The package supports prospective deterioration
		monitoring, uncertainty-aware risk assessment, intervention
		prioritisation, ablation analysis, and operational evaluation
		for healthcare performance management and health system
		resilience research. The methodological framework is informed
		by contemporary guidance on prediction model development and
		validation (Efthimiou et al., 2024
		doi:10.1136/bmj-2023-078276), transparent reporting of
		prediction models (Collins et al., 2024
		doi:10.1136/bmj-2023-078378), and decision-analytic model
		evaluation (Vickers and Elkin, 2006
		doi:10.1177/0272989X06295361).
	</longdescription>
</pkgmetadata>
