Paper Info
Title
Synergistic case-based reasoning in medical domains
Abstract
This paper presents four synergistic systems that exemplify the approaches and benefits of case-based reasoning in medical domains. It then explores how these systems couple Artificial Intelligence (AI) research with medical research and practice, integrate multiple AI and computing methodologies, leverage small numbers of available cases, reason with time series data, and integrate numeric data with contextual and subjective information. The following systems are presented: (1) CARE-PARTNER, which supports the long-term follow-up care of stem-cell transplantation patients; (2) the 4 Diabetes Support System, which aids in managing patients with type 1 diabetes on insulin pump therapy; (3) Retrieval of HEmodialysis in NEphrological Disorders, which supports hemodialysis treatment of patients with end stage renal disease; and (4) the Malardalen Stress System, which aids in the diagnosis and treatment of stress-related disorders.
Year
DOI
Venue
2014
10.1016/j.eswa.2013.05.063
Expert Syst. Appl.
Keywords
Field
DocType
malardalen stress,diabetes support,multiple ai,numeric data,medical domain,nephrological disorders,medical research,hemodialysis treatment,time series data,synergistic case-based reasoning,systems couple artificial intelligence,case based reasoning,medical informatics,clinical decision support systems
Computing Methodologies,Computer science,Knowledge management,Artificial intelligence,Clinical decision support system,Medical research,Case-based reasoning,Disease,Insulin pump,Medical physics,Health informatics,Transplantation,Machine learning
Journal
Volume
Issue
ISSN
41
2
0957-4174
Citations 
PageRank 
References 
11
0.55
22
Authors
4
Name
Order
Citations
PageRank
Cindy Marling117815.23
Stefania Montani290181.42
Isabelle Bichindaritz353255.74
P. Funk429122.99