On the design of a CADS for shoulder pain pathology

K. López De Ipiña, M. C. Hernández, E. Martínez, C. Vaquero

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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.

    Original languageEnglish
    Title of host publicationHybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings
    Pages508-515
    Number of pages8
    EditionPART 1
    DOIs
    Publication statusPublished - 2010
    Event5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010 - San Sebastian, Spain
    Duration: 23 Jun 201025 Jun 2010

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 1
    Volume6076 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010
    Country/TerritorySpain
    CitySan Sebastian
    Period23/06/1025/06/10

    Keywords

    • Computer-Aided Decision Support system
    • Machine Learning
    • Musculoskeletal disorders
    • Shoulder Pain

    Fingerprint

    Dive into the research topics of 'On the design of a CADS for shoulder pain pathology'. Together they form a unique fingerprint.

    Cite this