Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm

BACKGROUND: Strokes represent a leading cause of mortality globally. The evolution of developing new therapies is subject to safety and efficacy testing in clinical trials, which operate in a limited timeframe. To maximize the impact of these trials, patient cohorts for whom ischemic stroke is likel...

Descripción completa

Detalles Bibliográficos
Autores principales: Maharjan, Jenish, Ektefaie, Yasha, Ryan, Logan, Mataraso, Samson, Barnes, Gina, Shokouhi, Sepideh, Green-Saxena, Abigail, Calvert, Jacob, Mao, Qingqing, Das, Ritankar
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/PMC8823366/
https://www.ncbi.nlm.nih.gov/pubmed/35145468
http://dx.doi.org/10.3389/fneur.2021.784250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8823366/
https://www.ncbi.nlm.nih.gov/pubmed/35145468
http://dx.doi.org/10.3389/fneur.2021.784250

Ejemplares similares