A Computer-Aided Decision Support System for Shoulder Pain Pathology

被引：0

作者：

Lopez de Ipina, K. ^{[1
]}

Hernandez, M. C. ^{[1
]}

Grana, M. ^{[1
]}

Martinez, E. ^{[2
]}

Vaquero, C. ^{[3
]}

机构：

[1] Univ Pais Vasco Euskal Herriko Unibertsitatea, Grp Inteligencia Computac, Plaza Europa 1, Donostia San Sebastian 20008, Spain

[2] Txagorritxu Hosp Rehabilitat Service Osakidetza, Basque Health Service, Vitoria 01009, Spain

[3] Fund LEIA CDT, Equipo Seguridad Indus P T Alava, Alava 01510, Spain

来源：

TRENDS IN PRACTICAL APPLICATIONS OF AGENTS AND MULTIAGENT SYSTEMS | 2010年 / 71卷

关键词：

Musculoskeletal disorders; Shoulder Pain; Computer-Aided Decision Support system; Machine Learning; PRIMARY-CARE; DIAGNOSIS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A musculoskeletal disorder is a condition of the musculoskeletal system which consists in that part of it is 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 and affect 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. In this work a Computer-Aided Decision Support (CADS) system for Shoulder Pain Pathology has been developed. The paper presents the medical method and the development of the database and the (CADS) system based on several classical classification paradigms improve by covariance estimation methods. Finally the system was evaluated by a medical specialist.

引用

页码：705 / +

页数：2

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