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

Development of methods for building concept models to support structured data entry and image retrieval in chest radiography.

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.

The Canon Group is an informal organization of medical informatics researchers who are working on the problem of developing a "deeper" representation formalism for use in exchanging data and developing applications. Individuals in the group represent experts in such areas as knowledge representation and computational linguistics, as well as in a variety of medical subdisciplines. All share the view that current mechanisms for the characterization of medical phenomena are either [...]

Develop standard terms and codes for recording nursing care information in patient records to permit relevant data to be abstracted into a shared database for effectiveness research.

Develop a representation of clinical observations and actions and a method of processing free-text patient documents to facilitate applications such as quality assurance.

The introduction by the Health Care Financing Administration, in 1993, of separate conversion factors for "medical" and "surgical" services to be used in calculating Medicare charges would ordinarily necessitate the use of year-specific software source code. By designing the system to utilize macro-substitution of the year in the names of Current Procedural Terminology for Physicians Code databases, database fields, and system variables, it is possible to calculate Medicare charges without [...]