By systematically integrating considerations associated with local embedded processing, classifier configuration, data-driven adaptation and networked com- munication, our approach allows for effective assessment, prototyping, and implementation of alternative distributed design methods for data-driven, adaptive stream mining systems.
Various chest pain risk assessment prototypes have been developed and deployed online for further clinical trials.
The effort focuses on iterative development of the next generation of risk assessment prototypes, learning from these efforts, and then refining subsequent efforts based on this new knowledge.
For example, decision support research methods that arise from medical research models include: systematic reviews of the literature; needs assessments; prototype development; field-tests; effectiveness trials; and dissemination and implementation studies.
Check out the original interfaces student teams have created in this class, in which they have taken part in needs assessment, rapid prototyping, algorithmic implementation, and more.
In so doing, they create the grounds for a polyphonic assessment of prototypes, in which a multiplicity of perspectives encourages a multi-layered assessment.
Using this approach, a simulation exercise with specific numerical values for demand and cost parameters was conducted, allowing a first comparative assessment of prototypes of spectrum governance regimes.
This paper reports the design, development, and exploratory assessment of a prototype cognitive decision support system (CDSS).
