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Open Access

Peer-reviewed

Research Article

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

Qian Ye ,

Roles Data curation, Writing – original draft

¶‡ QY, GF also contributed equally to this work and share first authorship.

Affiliation Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

https://orcid.org/0009-0006-7823-5899

⨯
Guilin Fang ,

Roles Data curation, Formal analysis

¶‡ QY, GF also contributed equally to this work and share first authorship.

Affiliation Department of Nephrology, Nanjing Jinling Hospital, General Hospital of Eastern Theatre Command, Nanjing, Jiangsu, China
⨯
Liping Li,

Roles Data curation

Affiliation Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
⨯
Qinggui Li,

Roles Investigation

Affiliation Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
⨯
Yun Yang,

Roles Investigation

Affiliation Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
⨯
Lingling Liu

Roles Formal analysis, Methodology, Writing – review & editing

* E-mail: 1209674467@qq.com

Affiliation Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

https://orcid.org/0000-0003-4392-3676

⨯

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

Qian Ye,
Guilin Fang,
Liping Li,
Qinggui Li,
Yun Yang,
Lingling Liu

x

Published: July 2, 2026
https://doi.org/10.1371/journal.pone.0351468

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Medical risk factors
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