Unsupervised machine learning for clustering forward head posture, protraction and retraction moveme...
Unsupervised machine learning for clustering forward head posture, protraction and retraction movement patterns based on craniocervical angle data in individuals with nonspecific neck pain
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
The traditional understanding of craniocervical alignment emphasizes specific anatomical landmarks. However, recent research has challenged the reliance on forward head posture as the primary diagnostic criterion for neck pain. An advanced relationship exists between neck pain and craniocervical alignment, which requires a deeper exploration of div...
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Full title
Unsupervised machine learning for clustering forward head posture, protraction and retraction movement patterns based on craniocervical angle data in individuals with nonspecific neck pain
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TN_cdi_doaj_primary_oai_doaj_org_article_ea8aeb6783554a9080daa7e720ba4257
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ea8aeb6783554a9080daa7e720ba4257
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ISSN
1471-2474
E-ISSN
1471-2474
DOI
10.1186/s12891-024-07485-z
