Predictive factors of stigma in stroke patients based on logistic regression and decision tree mode

Threat, irrelevant cognitive appraisal, social support and resilience might be the predictive factors of stigma in stroke patients. The AUC and accuracy of the decision tree model were slightly lower than that of the Logistic regression model.

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Publication Details

Journal
Pakistan Journal of Medical Sciences
Published
2025-05-03
DOI
https://doi.org/10.12669/pjms.41.5.9946
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictive factors of stigma in stroke patients based on logistic regression and decision tree mode

Kui Jing, Ruolin Zhang, Xuefei Li, Zheng Li et al.
Pakistan Journal of Medical Sciences
Stroke Rehabilitation and Recovery
article

Predictive factors of stigma in stroke patients based on logistic regression and decision tree mode

Kui Jing, Ruolin Zhang, Xuefei Li, Zheng Li, Wenwen Ma
article en

Abstract

Threat, irrelevant cognitive appraisal, social support and resilience might be the predictive factors of stigma in stroke patients. The AUC and accuracy of the decision tree model were slightly lower than that of the Logistic regression model.

Pakistan Journal of Medical SciencesVol. 41(5)
Affiliated Hospital of Hebei University (CN), Baoding People's Hospital (CN), Hebei University (CN)
Openalex Percentile: Top 88%
Stroke Rehabilitation and Recovery
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