Title
On the design of a CADS for shoulder pain pathology
Abstract
A musculoskeletal disorder is a condition of the musculoskeletal system, which consists in part of it being injured continuously over time Shoulder disorders are one of the most common musculoskeletal cases attended in primary health care services Shoulder disorders cause pain and limit the ability to perform many routine activities, affecting about 15-25 % of the general population Several clinical tests have been described to aid diagnosis of shoulder disorders However, the current literature acknowledges a lack of concordance in clinical assessment, even among musculoskeletal specialists We are working on the design of a Computer-Aided Decision Support (CADS) system for Shoulder Pain Pathology The paper presents the results of our efforts to build a CADS system testing several classical classification paradigms, feature reduction methods (PCA) and K-means unsupervised clustering The small database size imposes the use of robust covariance matrix estimation methods to improve the system performance Finally, the system was evaluated by a medical specialist.
Year
DOI
Venue
2010
10.1007/978-3-642-13769-3_62
HAIS (1)
Keywords
Field
DocType
musculoskeletal disorder,shoulder pain pathology,clinical assessment,time shoulder disorder,system performance,cads system,shoulder disorder,musculoskeletal specialist,common musculoskeletal case,musculoskeletal system,decision support system,primary health care,machine learning,k means,decision support
Clinical tests,Population,Primary health care,Computer science,System testing,Decision support system,Musculoskeletal disorder,Concordance,Cluster analysis,Pathology
Conference
Volume
ISSN
ISBN
6076
0302-9743
3-642-13768-7
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
K. López De Ipiña1205.23
M. C. Hernández210.75
E. Martínez300.34
C. Vaquero410.75