Predicting 90-Day Prognosis in Ischemic Stroke Patients Post Thrombolysis Using Machine Learning

(1) Objective: This study aimed to construct a machine learning model for predicting the prognosis of ischemic stroke patients who underwent thrombolysis, assessed through the modified Rankin Scale (mRS) score 90 days after discharge. (2) Methods: Data were sourced from Qatar’s stroke registry cover...

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Detalles Bibliográficos
Autores principales: Abujaber, Ahmad A., Albalkhi, Ibrahem, Imam, Yahia, Nashwan, Abdulqadir J., Yaseen, Said, Akhtar, Naveed, Alkhawaldeh, Ibraheem M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672468/
https://www.ncbi.nlm.nih.gov/pubmed/38003870
http://dx.doi.org/10.3390/jpm13111555

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672468/
https://www.ncbi.nlm.nih.gov/pubmed/38003870
http://dx.doi.org/10.3390/jpm13111555

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