Machine learning approach for hemorrhagic transformation prediction: Capturing predictors' interaction

BACKGROUND AND PURPOSE: Patients with ischemic stroke frequently develop hemorrhagic transformation (HT), which could potentially worsen the prognosis. The objectives of the current study were to determine the incidence and predictors of HT, to evaluate predictor interaction, and to identify the opt...

Descripción completa

Detalles Bibliográficos
Autores principales: Elsaid, Ahmed F., Fahmi, Rasha M., Shehta, Nahed, Ramadan, Bothina M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731336/
https://www.ncbi.nlm.nih.gov/pubmed/36504664
http://dx.doi.org/10.3389/fneur.2022.951401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731336/
https://www.ncbi.nlm.nih.gov/pubmed/36504664
http://dx.doi.org/10.3389/fneur.2022.951401

Ejemplares similares