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Machine learning prediction for identifying individuals requiring rotator cuff repair: Shoulder muscle strength and questionnaires as the related factors.

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Title: Machine learning prediction for identifying individuals requiring rotator cuff repair: Shoulder muscle strength and questionnaires as the related factors.
Authors: Kim, Jin-seong1,2 (AUTHOR), Hwang, Ui-jae3 (AUTHOR), Jo, Se-haeng1 (AUTHOR), Chung, Kyu-sung4 (AUTHOR), Kwon, Oh-yun2 (AUTHOR) kwonoy@yonsei.ac.kr
Source: Journal of Back & Musculoskeletal Rehabilitation. May2026, Vol. 39 Issue 3, p992-1001.
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  Data: Machine learning prediction for identifying individuals requiring rotator cuff repair: Shoulder muscle strength and questionnaires as the related factors.
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  Data: <searchLink fieldCode="AR" term="%22Kim%2C+Jin-seong%22">Kim, Jin-seong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hwang%2C+Ui-jae%22">Hwang, Ui-jae</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jo%2C+Se-haeng%22">Jo, Se-haeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chung%2C+Kyu-sung%22">Chung, Kyu-sung</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kwon%2C+Oh-yun%22">Kwon, Oh-yun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> kwonoy@yonsei.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Back+%26+Musculoskeletal+Rehabilitation%22">Journal of Back & Musculoskeletal Rehabilitation</searchLink>. May2026, Vol. 39 Issue 3, p992-1001.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=s3h&AN=193250151
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        Value: 10.1177/10538127251412325
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      – Text: English
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      – TitleFull: Machine learning prediction for identifying individuals requiring rotator cuff repair: Shoulder muscle strength and questionnaires as the related factors.
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            NameFull: Kim, Jin-seong
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            NameFull: Hwang, Ui-jae
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            NameFull: Jo, Se-haeng
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            NameFull: Chung, Kyu-sung
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              Text: May2026
              Type: published
              Y: 2026
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