Purpose: Bayesian calibration is generally superior to standard direct-search algorithms in that it estimates the full joint posterior distribution of calibrated parameters. However, there are many barriers using health decision sciences stemming from need program complex models probabilistic programming languages and associated computational burden applying calibration. In this paper, we propo...

Given a system that does not work as expected, sequential diagnosis aims at suggesting series of measurements to isolate the true explanation for system’s misbehavior from potentially large set possible explanations. To reason about best next measurement, methods usually require sample fault explanations each step iterative diagnostic process. The computation this can be accomplished by various...

We introduce two abstraction mechanisms for streamlining the process of semantic interpretation. Configurational descriptions of dependency graphs increase the linguistic generality of interpretation schemata, while interfacing them to lexical and conceptual inheritance hierarchies reduces the amount and complexity of semantic specifications.

This paper focuses on the new trends to optimize costs in healthcare supply chain operations that include virtual centralization of supply chains, supply utilization management practices, use of RFID technologies, use of analytics, streamlining workflow etc. The application of these techniques can provide affordable healthcare solutions in developing countries.

As public health agencies struggle to track and contain emerging arbovirus threats, timely and efficient surveillance is more critical than ever. Using historical dengue data from Puerto Rico, we developed methods for streamlining and designing novel arbovirus surveillance systems with or without historical disease data.