Interpretable Machine Learning for Stroke Recovery: Predicting Discharge and 3-Month Functional Outcomes.
Introduction: Stroke is a leading cause of disability worldwide. This study uses Machine Learning models to investigate factors influencing modified Rankin Scale scores at discharge and three months post-discharge. Methods: Data from 116 stroke patients were analyzed using four predictive models: Lo...
| Publicado en: | NeuroRehabilitation Vol. 58; no. 3; pp. 453 - 463 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
May2026
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| Acceso en línea: | Ver este registro en EBSCOhost |