Paper Info
Title
The CliniCon framework for context representation in electronic patient records.
Abstract
A well-known problem of current electronic patient records is that they usually fail to represent the semantic relationships between the involved clinical data. This has to be viewed as a problem especially in the domains characterized by a complex and long-term treatment,. as the medical decision making process may not be comprehensible anymore from the data entries themselves. Context representation can overcome these limitations, enabling the record to express causality, revisions, conflicts, or individual heuristics explicitly. This article introduces CLINICON which is a formal framework for domain-independent context representation based on Sowa's conceptual graphs.
Year
Venue
Keywords
1997
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
semantics,artificial intelligence
Field
DocType
Issue
Data science,Graph,Causality,Medical decision making,Computer science,Heuristics,Natural language processing,Artificial intelligence,Semantics
Conference
SUPnan
ISSN
Citations 
PageRank 
1067-5027
1
0.35
References 
Authors
2
1
Name
Order
Citations
PageRank
R Müller1787.04