| Conceptual graphs as an operational model for descriptive findings. | |
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MedLine Citation:
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PMID: 1807590 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Clinical findings are often based on impression and expressed by verbal descriptions. For their structured documentation a coherent and consistent representation model is demanding. The proposed approach is an attempt to take conceptual graphs as a formal notation for findings. Conceptual graphs are finite, connected, and bipartite graphs consisting of concept nodes that are linked by conceptual relation nodes. Concepts are organized in a type hierarchy. A subclass of conceptual graphs, called conceptual finding graphs, will be introduced that capture descriptive findings with well-defined characteristics. It will be shown, how conceptual finding graphs can serve as a coherent and consistent basis for data acquisition, database storage, and verbalization of descriptive findings. The data entry of findings can be supported by the definition of selectional constraints for conceptual relations. Database storage can be achieved by mapping conceptual finding graphs into a relational database schema. Findings can be verbalized by a text generator which takes conceptual finding graphs as input and produces morpho-syntactic surface structures. The model has been applied to an interactive report generator for bone scan studies. It provides the user with a controlled reporting vocabulary on an adaptive graphical interface, and allows the assembling of complex findings by term selection and combination based on selectional constraints. The entered findings can be stored without loss of structure. A text generation produces acceptable German reports. |
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Authors:
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J Bernauer |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care Volume: - ISSN: 0195-4210 ISO Abbreviation: Proc Annu Symp Comput Appl Med Care Publication Date: 1991 |
Date Detail:
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Created Date: 1992-05-21 Completed Date: 1992-05-21 Revised Date: 2009-11-18 |
Medline Journal Info:
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Nlm Unique ID: 8113685 Medline TA: Proc Annu Symp Comput Appl Med Care Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 214-8 Citation Subset: IM |
Affiliation:
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Institute for Medical Informatics, University of Hildesheim, Federal Republic of Germany. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Artificial Intelligence Bone and Bones / radionuclide imaging Concept Formation Databases, Factual Diagnosis, Computer-Assisted Humans Medical Records Systems, Computerized* Models, Theoretical Software Design |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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