MUMPS Based Integration of Disparate Computer-Assisted Medical Diagnosis Modules

Abstract

Traditional approaches to database-system design and implementation involve single-model, single-language database systems with their inherent lack of flexibility and extensibility. An alternative to the traditional approach to database-system design and implementation is the multi-lingual database system (MLDS). This approach allows the user with the user's familiar data language to access and update one or more unfamiliar databases in different data models as if they are in the user's familiar data model. Thus, MLDS has the flexibility and extensibility in database accesses. In this thesis, we present a methodology for the relational user to access and update network databases with a relational data language. Specifically, we designed an interface for allowing the relations/SQL user to access a network database via SQL transactions. This thesis further extends the functionality of MLDS.

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Document Details

Document Type
Technical Report
Publication Date
Dec 12, 1989
Accession Number
ADA223918

Entities

People

  • Alphonso L. Woods
  • Antonio Gino
  • Dave H. Ryman
  • Dennis A. Walpole
  • William M. Pugh

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence Computing
  • Bayesian Networks
  • Computer Languages
  • Computer Programming
  • Computers
  • Databases
  • Department Of Defense
  • Diseases And Disorders
  • Expert Systems
  • Health Care
  • Health Services
  • Neural Networks
  • Pain
  • Probability
  • Signs And Symptoms

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications