Identifying Sources of Variability in Scoliosis Classification Using a Rule-Based Automated Algorithm

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dc.contributor.authorIan A. F. Stokes
dc.contributor.authorDavid D. Aronsson
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:43:07Z
dc.date.available2026-03-22T14:43:07Z
dc.date.issued2002
dc.descriptionCitaciones: 36
dc.description.abstractObjective measurements and rule-based algorithms can eliminate some sources of interobserver and intraobserver errors in classification of spinal deformity. When classification parameters fall close to the boundaries for classification, reliability problems will persist.
dc.identifier.doi10.1097/00007632-200212150-00014
dc.identifier.urihttps://doi.org/10.1097/00007632-200212150-00014
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/48141
dc.language.isoen
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofSpine
dc.sourceUniversity of Vermont
dc.subjectMedicine
dc.subjectScoliosis
dc.subjectRadiography
dc.subjectAlgorithm
dc.subjectCobb angle
dc.subjectReliability (semiconductor)
dc.subjectDeformity
dc.subjectLumbar
dc.subjectClassification scheme
dc.subjectIdiopathic scoliosis
dc.titleIdentifying Sources of Variability in Scoliosis Classification Using a Rule-Based Automated Algorithm
dc.typearticle

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