Search AMIA.org

CDC WONDER is an information management architecture designed for public health. It provides access to information and communications without the user's needing to know the location of data or communication pathways and mechanisms. CDC WONDER users have access to extractions from some 40 databases; electronic mail (e-mail); and surveillance data processing. System components include the Remote Client, the Communications Server, the Queue Managers, and Data Servers and Process Servers. The [...]

To examine the influences of situational and model factors on the accuracy of Bayesian learning systems.

A general framework for representation of clinical data that provides a declarative semantics of terms and that allows developers to define explicitly the relationships among both terms and combinations of terms.

To design and develop a computer-based health-care record system to address the needs of the patients and providers of a homeless population.

Evaluate the accuracy of the detailed diagnostic reasoning of the Heart Failure Program incorporating a new mechanism to handle temporal relationships and severity constraints.

Assess the performance of the SAPHIRE automated information retrieval system.

To develop optimal MEDLINE search strategies for retrieving sound clinical studies of the etiology, prognosis, diagnosis, prevention, or treatment of disorders in adult general medicine.