Automatic generation of medical recommendations using topic maps as knowledge source

In this paper is presented a method for automated generation of medical recommendations, using the combined power of the topic maps and expert systems. To obtain new knowledge from topic maps and to integrate this knowledge with a medical decision making systems, keywords for interrogation are needed. The keywords will be extracted from various sources of medical decision making systems: patient data documents, rules documents or even recommendations.