Biomedical subjects

E M van Mulligen

Publications and source records attributed to E M van Mulligen.

21 records · Page 2Linked to original sources

PubMed1991

A framework for uniform access to data, software and knowledge.

An object-oriented framework is presented that offers integration of various types of entities at one workstation. Five types of entities are distinguished: data, knowledge, functions, presentation forms and hardware, and for each of these entities an 'accessor' is introduced. An accessor offers abstraction from the particularities of access to the entities. For the interaction with this framework a programming language has been defined. A restricted form of the framework has been used to implement a prototype medical workstation for the support of clinical data analysis.

Artificial Intelligence↗

PubMed1991

Integration of an object knowledge base into a medical workstation.

A simple, yet powerful, knowledge base and its development environment is described that can act as a "knowledge server", integrated into a medical workstation. In many areas, such an integration of a knowledge base with other modules and systems is required, but difficult or impossible to achieve with existing commercial development shells. Three applications of the knowledge base are described: a controlled vocabulary for the classification of Congenital Heart Diseases, an extended data model for cardiology, and management of syntax descriptions for the BMDP command language.

Artificial Intelligence↗

PubMedDate not supplied

UMLS-based access to CPR data. Unified Medical Language Systems.

This paper describes the results of a project that explores the use the Unified Medical Language System (UMLS) for knowledge-driven tasks, such as browsing a computer-based patient record (CPR). The project consisted of a number of steps: the mapping between CPR terms and UMLS concepts, the development of an algorithm that explores the CPR data using this mapping and the implementation of a first prototype browser that visualizes 'found' data. A second task addressed in this project has been the direct access to online medical literature (MEDLINE) using the UMLS concepts found in the CPR data. In this project, we used a preliminary version of the Open Records for Patient Care (ORCA) CPR that consisted only of the history and physical examination data of patient suffering from heart failure.

Algorithms↗