Some knowledge acquisition environments have been proposed, taking into consideration the specifics of the medical reasoning process and medical expertise. Our project relies on the first two approaches. Through specific models, such as GLIF 9 or PRO forma, 10 to represent certain kinds of clinical guidelines and support their dissemination. The application of this knowledge acquisition tool to the construction of a decision support system in blood transfusion demonstrates the value of such a pragmatic methodology for the design of rule-based clinical systems that rely on the highly progressive knowledge embedded in hospital information systems. Corresponding medical logic modules are eventually generated. The expert is then guided in creating the knowledge base according to the pre-established domain ontology and condition–action rule templates that are well adapted to several clinical decision-making processes. The Unified Medical Language System (UMLS) contains the domain entities and constitutes the relations repository from which the expert builds, through a specific browser, the explicit domain ontology. The authors have designed a knowledge acquisition tool to facilitate the creation and maintenance of a knowledge base by the domain expert and its sharing and reuse by other institutions. Decision support systems in the medical field have to be easily modified by medical experts themselves.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |