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Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data.

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Title: Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data.
Authors: González, Juan R.1,2,3 juanr.gonzalez@isglobal.org, Cáceres, Alejandro1,2, Ferrer, Eva4,5, Balagué-Dobón, Laura1, Escribà-Montagut, Xavier1, Sarrat-González, David1, Quintás, Guillermo6, Rodas, Gil4,5,6
Source: International Journal of Sports Physiology & Performance. Jul2024, Vol. 19 Issue 7, p661-669.
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  Data: Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Sports+Physiology+%26+Performance%22">International Journal of Sports Physiology & Performance</searchLink>. Jul2024, Vol. 19 Issue 7, p661-669.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=s3h&AN=178162402
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1123/ijspp.2023-0184
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      – Text: English
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        PageCount: 9
        StartPage: 661
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      – TitleFull: Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data.
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            NameFull: González, Juan R.
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            NameFull: Cáceres, Alejandro
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            NameFull: Balagué-Dobón, Laura
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            NameFull: Escribà-Montagut, Xavier
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            NameFull: Sarrat-González, David
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            – D: 01
              M: 07
              Text: Jul2024
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              Y: 2024
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            – TitleFull: International Journal of Sports Physiology & Performance
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