TY - GEN
T1 - On the design of a CADS for shoulder pain pathology
AU - De Ipiña, K. López
AU - Hernández, M. C.
AU - Martínez, E.
AU - Vaquero, C.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Computer-Aided Decision Support system
KW - Machine Learning
KW - Musculoskeletal disorders
KW - Shoulder Pain
UR - https://www.scopus.com/pages/publications/77954618784
U2 - 10.1007/978-3-642-13769-3_62
DO - 10.1007/978-3-642-13769-3_62
M3 - Conference contribution
AN - SCOPUS:77954618784
SN - 3642137687
SN - 9783642137686
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 508
EP - 515
BT - Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings
T2 - 5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010
Y2 - 23 June 2010 through 25 June 2010
ER -