Comparison of outcome prediction models post-stroke for a population-based registry with clinical variables collected at admission vs. discharge

AIM: The ability to predict outcomes can help clinicians to better triage and treat stroke patients. We aimed to build prediction models using clinical data at admission and discharge to assess predictors highly relevant to stroke outcomes. METHODS: A total of 37,094 patients from the Taiwan Stroke...

Descripción completa

Detalles Bibliográficos
Autores principales: Hsu, Kai-Cheng, Lin, Ching-Heng, Johnson, Kory R., Fann, Yang C., Hsu, Chung Y., Tsai, Chon-Haw, Chen, Po-Lin, Chang, Wei-Lun, Yeh, Po-Yen, Wei, Cheng-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963213/
https://www.ncbi.nlm.nih.gov/pubmed/35356047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963213/
https://www.ncbi.nlm.nih.gov/pubmed/35356047

Ejemplares similares