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A machine learning approach for the identification of kinematic biomarkers of chronic neck pain during single- and dual-task gait.

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Title: A machine learning approach for the identification of kinematic biomarkers of chronic neck pain during single- and dual-task gait.
Authors: Jiménez-Grande, David1, Farokh Atashzar, S.2,3, Devecchi, Valter1, Martinez-Valdes, Eduardo1, Falla, Deborah1 d.falla@bham.ac.uk
Source: Gait & Posture. Jul2022, Vol. 96, p81-86.
Database: SPORTDiscus with Full Text
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Header DbId: s3h
DbLabel: SPORTDiscus with Full Text
An: 158239149
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Gait+%26+Posture%22">Gait & Posture</searchLink>. Jul2022, Vol. 96, p81-86.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=s3h&AN=158239149
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      – Type: doi
        Value: 10.1016/j.gaitpost.2022.05.015
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      – Text: English
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      – TitleFull: A machine learning approach for the identification of kinematic biomarkers of chronic neck pain during single- and dual-task gait.
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            NameFull: Farokh Atashzar, S.
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            – D: 01
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              Text: Jul2022
              Type: published
              Y: 2022
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              Value: 96
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