Table 1_Development and validation of an early predictive model for hemiplegic shoulder pain: a comparative study of logistic regression, support vector machine, and random forest.xlsx

Table 1_Development and validation of an early predictive model for hemiplegic shoulder pain: a comparative study of logistic regression, support vector machine, and random forest.xlsx

Objective<p>In this study, we aim to identify the predictive variables for hemiplegic shoulder pain (HSP) through machine learning algorithms, select the optimal model and predict the occurrence of HSP.</p>Methods<p>Data of 332 stroke patients admitted to a tertiary hospital in Zhe...

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Bibliographic Details
Main Author: Qiang Wu (31071) (author)
Other Authors: Fang Zhang (197215) (author), Yuchang Fei (17800175) (author), Zhenfen Sima (21562520) (author), Shanshan Gong (616982) (author), Qifeng Tong (12987158) (author), Qingchuan Jiao (21562523) (author), Hao Wu (65943) (author), Jianqiu Gong (10668169) (author)
Published: 2025
Subjects:
Neurology and Neuromuscular Diseases
hemiplegic shoulder pain
prediction model
random forest
support vector machine
SHAP
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