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  4. Publikationen Gesundheit
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dc.contributor.authorSchuld, Christian-
dc.contributor.authorWiese, Julia-
dc.contributor.authorHug, Andreas-
dc.contributor.authorPutz, Cornelia-
dc.contributor.authorvan Hedel, Hubertus J. A.-
dc.contributor.authorSpiess, Martina R.-
dc.contributor.authorWeidner, Norbert-
dc.contributor.authorRupp, Rüdiger-
dc.date.accessioned2022-09-08T10:19:38Z-
dc.date.available2022-09-08T10:19:38Z-
dc.date.issued2012-02-
dc.identifier.issn0897-7151de_CH
dc.identifier.issn1557-9042de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/25604-
dc.description.abstractThe International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI), defined by the American Spinal Injury Association (ASIA), and particularly the ASIA Impairment Scale (AIS) are widely used for research and clinical purposes. Although detailed procedures for scaling, scoring, and classification have been defined, misclassifications remain a major problem, especially for cases with missing (i.e., not testable [NT]) data. This work aimed to implement computer-based classification algorithms that included rules for handling NT data. A consistent and structured algorithmic scoring, scaling, and classification scheme, and a computerized application have been developed by redefining logical/mathematical imprecisions. Existing scoring rules are extended for handling NT segments. Design criterion is a pure logical approach so that substitution of non-testability for all valid examination scores leads to concordant results. Nine percent of 5542 datasets from 1594 patients in the database of the European Multicenter Study of Human Spinal Cord Injury (EM-SCI) contained NT segments. After adjusting computational algorithms, the classification accuracy was equivalent between clinical experts and the computational approach and resulted in 84% valid AIS classifications within datasets containing NT. Additionally, the computational method is much more efficient, processing approximately 200,000 classifications/sec. Computational algorithms offer the ability to classify ISNCSCI subscores efficiently and without the risk of human-induced errors. This is of particular clinical relevance, since these scores are used for early predictions of neurological recovery and functional outcome for patients with spinal cord injuries.de_CH
dc.language.isoende_CH
dc.publisherMary Ann Liebertde_CH
dc.relation.ispartofJournal of Neurotraumade_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectAlgorithmde_CH
dc.subjectComputerde_CH
dc.subjectData interpretation, Statisticalde_CH
dc.subjectDisability evaluationde_CH
dc.subjectHumansde_CH
dc.subjectMovementde_CH
dc.subjectNervous system diseasede_CH
dc.subjectNeurologic examinationde_CH
dc.subjectRecovery of functionde_CH
dc.subjectReproducibility of resultde_CH
dc.subjectSensationde_CH
dc.subjectSoftwarede_CH
dc.subjectSpinal cord Injuryde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc616.8: Neurologie und Krankheiten des Nervensystemsde_CH
dc.titleComputer implementation of the international standards for neurological classification of spinal cord injury for consistent and efficient derivation of its subscores including handling of data from not testable segmentsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementGesundheitde_CH
zhaw.organisationalunitInstitut für Ergotherapie (IER)de_CH
dc.identifier.doi10.1089/neu.2011.2085de_CH
dc.identifier.pmid21933016de_CH
zhaw.funding.euNode_CH
zhaw.issue3de_CH
zhaw.originated.zhawNode_CH
zhaw.pages.end461de_CH
zhaw.pages.start453de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume29de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Schuld, C., Wiese, J., Hug, A., Putz, C., van Hedel, H. J. A., Spiess, M. R., Weidner, N., & Rupp, R. (2012). Computer implementation of the international standards for neurological classification of spinal cord injury for consistent and efficient derivation of its subscores including handling of data from not testable segments. Journal of Neurotrauma, 29(3), 453–461. https://doi.org/10.1089/neu.2011.2085
Schuld, C. et al. (2012) ‘Computer implementation of the international standards for neurological classification of spinal cord injury for consistent and efficient derivation of its subscores including handling of data from not testable segments’, Journal of Neurotrauma, 29(3), pp. 453–461. Available at: https://doi.org/10.1089/neu.2011.2085.
C. Schuld et al., “Computer implementation of the international standards for neurological classification of spinal cord injury for consistent and efficient derivation of its subscores including handling of data from not testable segments,” Journal of Neurotrauma, vol. 29, no. 3, pp. 453–461, Feb. 2012, doi: 10.1089/neu.2011.2085.
SCHULD, Christian, Julia WIESE, Andreas HUG, Cornelia PUTZ, Hubertus J. A. VAN HEDEL, Martina R. SPIESS, Norbert WEIDNER und Rüdiger RUPP, 2012. Computer implementation of the international standards for neurological classification of spinal cord injury for consistent and efficient derivation of its subscores including handling of data from not testable segments. Journal of Neurotrauma. Februar 2012. Bd. 29, Nr. 3, S. 453–461. DOI 10.1089/neu.2011.2085
Schuld, Christian, Julia Wiese, Andreas Hug, Cornelia Putz, Hubertus J. A. van Hedel, Martina R. Spiess, Norbert Weidner, and Rüdiger Rupp. 2012. “Computer Implementation of the International Standards for Neurological Classification of Spinal Cord Injury for Consistent and Efficient Derivation of Its Subscores Including Handling of Data from Not Testable Segments.” Journal of Neurotrauma 29 (3): 453–61. https://doi.org/10.1089/neu.2011.2085.
Schuld, Christian, et al. “Computer Implementation of the International Standards for Neurological Classification of Spinal Cord Injury for Consistent and Efficient Derivation of Its Subscores Including Handling of Data from Not Testable Segments.” Journal of Neurotrauma, vol. 29, no. 3, Feb. 2012, pp. 453–61, https://doi.org/10.1089/neu.2011.2085.


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