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Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

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Title: Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.
Authors: Ye, Qian1 (AUTHOR), Fang, Guilin2 (AUTHOR), Li, Liping1 (AUTHOR), Li, Qinggui1 (AUTHOR), Yang, Yun1 (AUTHOR), Liu, Lingling1 (AUTHOR) 1209674467@qq.com
Source: PLoS ONE. 7/2/2026, Vol. 21 Issue 7, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 7/2/2026, Vol. 21 Issue 7, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195049324
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        Value: 10.1371/journal.pone.0351468
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      – TitleFull: Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.
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              Text: 7/2/2026
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