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Logistic regression analysis and machine learning for predicting post-stroke gait independence: a retrospective study.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-72206-4
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- Article
Improvement of predictive accuracies of functional outcomes after subacute stroke inpatient rehabilitation by machine learning models.
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- PLoS ONE, 2023, v. 17, n. 5, p. 1, doi. 10.1371/journal.pone.0286269
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- Article
Effects of the COVID-19 Pandemic on Physical Function of Community-Dwelling People with Disabilities in Japan.
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- International Journal of Environmental Research & Public Health, 2022, v. 19, n. 19, p. 12599, doi. 10.3390/ijerph191912599
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- Article
Determinants of Step-through Gait Pattern Acquisition in Subacute Stroke Patients.
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- Progress in Rehabilitation Medicine, 2022, v. 7, p. 1, doi. 10.2490/prm.20220035
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- Article
Comparing the contribution of each clinical indicator in predictive models trained on 980 subacute stroke patients: a retrospective study.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-39475-x
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- Article