Multidimensional machine learning approach for classifying patients with neck pain based on movement control test

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Title:	Multidimensional machine learning approach for classifying patients with neck pain based on movement control test
Authors:	ID Majcen Rošker, Živa (Author) ID Rošker, Jernej (Author)
Files:	https://doi.org/10.1016/j.bjpt.2026.101606 https://www.sciencedirect.com/science/article/pii/S1413355526000316?via%3Dihub RAZ_Majcen_Rosker_Ziva_2026.pdf (1,92 MB) MD5: B87BBAFFFD064EE400353F44B9CF26B7
Language:	English
Work type:	Article
Typology:	1.01 - Original Scientific Article
Organization:	FVZ - Faculty of Health Sciences
Keywords:	cervical spine disorders, diagnostic validity, kinesthesia, proprioception
Publication status:	Published
Publication version:	Version of Record
Publication date:	27.06.2026
Year of publishing:	2026
Number of pages:	str. 1-9
Numbering:	Vol. 30, iss. 4, [article no.] 101606
PID:	20.500.12556/RUP-23188
UDC:	616.72:615.8
ISSN on article:	1413-3555
DOI:	10.1016/j.bjpt.2026.101606
COBISS.SI-ID:	283022339
Publication date in RUP:	30.06.2026
Views:	26
Downloads:	0
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Title:	Brazilian Journal of Physical Therapy
Shortened title:	Braz. J. Phys. Ther.
Publisher:	Universidade Federal de São Carlos, Departamento de Fisioterapia
ISSN:	1413-3555
COBISS.SI-ID:	515881497

License:	CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Link:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:	The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Language:	Slovenian
Keywords:	cervikalna hrbtenica, diagnostična veljavnost, kinestezija, propriocepcija

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