Paper Info
Title
The CTCN temporal model for representing knowledge in the sleep apnea syndrome diagnostic task
Abstract
We present a prototype for implementing a framework for handling temporal information using the CTCN (Causal Temporal Constraint Networks) model as the representational schema. This prototype was developed for application to the diagnosis of the sleep apnea syndrome (SAS). The temporal information in SAS diagnosis is structured--according to its characteristics and temporal granularity--in terms of different interpretation contexts that are connected to each other via an inference mechanism.
Year
DOI
Venue
2007
10.1007/978-3-540-74819-9_41
KES (1)
Keywords
Field
DocType
inference mechanism,Causal Temporal Constraint Networks,temporal information,sleep apnea syndrome,different interpretation context,diagnostic task,SAS diagnosis,representational schema,temporal granularity,CTCN temporal model
Sleep apnea,Computer science,Inference,Natural language processing,Artificial intelligence,Schema (psychology),Medical diagnosis
Conference
Volume
ISSN
Citations 
4692
0302-9743
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Ángel Fernández-Leal182.21
Vicente Moret-Bonillo220126.17