DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

BACKGROUND: Medical practitioners use survival models to explore and understand the relationships between patients’ covariates (e.g. clinical and genetic features) and the effectiveness of various treatment options. Standard survival models like the linear Cox proportional hazards model require exte...

Descripción completa

Detalles Bibliográficos
Autores principales: Katzman, Jared L., Shaham, Uri, Cloninger, Alexander, Bates, Jonathan, Jiang, Tingting, Kluger, Yuval
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828433/
https://www.ncbi.nlm.nih.gov/pubmed/29482517
http://dx.doi.org/10.1186/s12874-018-0482-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828433/
https://www.ncbi.nlm.nih.gov/pubmed/29482517
http://dx.doi.org/10.1186/s12874-018-0482-1

Ejemplares similares