Predictive Modeling Identifies Total Bleeds at 12-Weeks Postswitch to N8-GP Prophylaxis as a Predictor of Treatment Response

Background  Predicting annualized bleeding rate (ABR) during factor VIII (FVIII) prophylaxis for severe hemophilia A (SHA) is important for long-term outcomes. This study used supervised machine learning-based predictive modeling to identify predictors of long-term ABR during prophylaxis with an ext...

Descripción completa

Detalles Bibliográficos
Autores principales: Chowdary, Pratima, Hampton, Kingsley, Jiménez-Yuste, Victor, Young, Guy, Benchikh el Fegoun, Soraya, Cooper, Aidan, Scalfaro, Erik, Tiede, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251711/
https://www.ncbi.nlm.nih.gov/pubmed/34865209
http://dx.doi.org/10.1055/s-0041-1739514

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251711/
https://www.ncbi.nlm.nih.gov/pubmed/34865209
http://dx.doi.org/10.1055/s-0041-1739514

Ejemplares similares