Survival time prediction by integrating cox proportional hazards network and distribution function network

Survival time prediction by integrating cox proportional hazards network and distribution function network

Abstract Background The Cox proportional hazards model is commonly used to predict hazard ratio, which is the risk or probability of occurrence of an event of interest. However, the Cox proportional hazard model cannot directly generate an individual survival time. To do this, the survival analysis...

Full description

Bibliographic Details
Main Authors: Eu-Tteum Baek, Hyung Jeong Yang, Soo Hyung Kim, Guee Sang Lee, In-Jae Oh, Sae-Ryung Kang, Jung-Joon Min
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Bioinformatics
Subjects:
Prognosis
Survival time prediction
Deep learning
Distribution function network
Cox proportional hazards network
Online Access:https://doi.org/10.1186/s12859-021-04103-w

Internet

https://doi.org/10.1186/s12859-021-04103-w

Similar Items