Paper Info
Title
The Treatment of Time in a Case-Based Analysis of Experimental Medical Studies
Abstract
Case-based approaches are employed within a multitude of application areas one of which is the prediction of dynamic behaviour. Given a situation the possible development after a time span shall be determined. If only a small set of heterogenously structured cases describing observations at a variety of time points is given to start with, as it is the case when experimental medical studies shall be analysed, it becomes necessary to analyse and evaluate the temporal horizon from case to case differently, and treat time as a first class variable. This is the strategy OASES (Our Approach to Simulate Experimental Studies) employs. For this purpose, OASES utilises knowledge implicit in cases for matching and adaptation. Whether different time points do match in the current situation or how different time points of observation might effect the development, is decided based on cases which time is an explicit part of.
Year
DOI
Venue
1998
10.1007/BFb0095441
KI
Keywords
Field
DocType
experimental medical studies,case-based analysis,experimental studies,case-based similarity ranking,case-based reasoning,prediction,case-based adaptation,case base reasoning
Medical documents,Quality Score,Ranking,Computer science,Adaptive system,First class,Artificial intelligence,Case-based reasoning,Small set,Machine learning,Qualitative reasoning,Distributed computing
Conference
Volume
ISSN
ISBN
1504
0302-9743
3-540-65080-6
Citations 
PageRank 
References 
0
0.34
7
Authors
2
Name
Order
Citations
PageRank
Alexander Seitz1224.63
Adelinde Uhrmacher216814.98