'Benchmarking' clinical practice and integrating such data with national guidelines offers a way of establishing standards for use in clinical governance. We report on a feasibility project for benchmarking clinical practice in one topic area (otitis media) using simulated clinical scenarios. Consistency and variations in clinical management were identified for different scenarios. Participants...

This paper outlines a component of a study currently being undertaken to provide a new tool for the holistic management of dryland salinity. The Little River catchment in the upper Macquarie River basin of New South Wales (NSW), Australia, is used as a case study. The model uses a Bayesian Decision Network (BDN) approach to integrating the various system components – biophysical, social, ecolog...

background and objectives: making a reliable prediction of drought index status for the future is one of the major elements in a successful water resources management particularly under climate change processes, including increase in atmospheric carbon dioxide concentration, temperature and fluctuations in rainfall. the present study aims at assessing drought trend under changing climate condit...

An approach to developing and using Bayesian networks to model watershed management decisions is presented with a case study application to phosphorous management in the East Canyon watershed in Northern Utah, USA. The Bayesian network analysis includes a graphical model of the key variables in the system and conditional and marginal probability distributions derived from a variety of data and ...

This paper describes several scenarios for the management of digital media, focusing on electronic publishing from mobile environments. The solution proposed in those scenarios is based on MIPAMS (Multimedia Information Protection And Management System), a service-oriented Digital Rights Management (DRM) platform, which enables the creation, registration and distribution of multimedia content i...

We call data intensional when it is not directly available, but must be accessed through a costly interface. Intensional data naturally arises in a number of data management scenarios, such as crowdsourcing, Web crawling, or ontology-based data access. Such scenarios require us to model an uncertain view of the world, for which, given a query, we must answer the question “What is the best thing...

This work proposes a method for the evaluation of the effectiveness of adopting dynamic spectral management (DSM) algorithms in different DSL scenarios. In the last years several DSM algorithms emerged in the literature but their comparison has been typically conducted within few scenarios and considering specific operating points. This work proposes the adoption of the DSM effectiveness factor...

Drought is a feature of climate that can occur in virtually all climates. Therefore, it is aninevitable global but site-specific phenomenon which requires tools to predict and strategies andoptions to cope with it. In this research, the ability and effectiveness of the Bayesian DecisionNetworks (BDNs) approach in decision-making and evaluating drought management options forrainfed wheat product...