Cargando…
Survival time prediction by integrating cox proportional hazards network and distribution function network
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 in the C...
Autores principales: | Baek, Eu-Tteum, Yang, Hyung Jeong, Kim, Soo Hyung, Lee, Guee Sang, Oh, In-Jae, Kang, Sae-Ryung, Min, Jung-Joon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050908/ https://www.ncbi.nlm.nih.gov/pubmed/33858319 http://dx.doi.org/10.1186/s12859-021-04103-w |
Ejemplares similares
-
Extension of Cox Proportional Hazard Model for Estimation of Interrelated Age-Period-Cohort Effects on Cancer Survival
por: Mdzinarishvili, Tengiz, et al.
Publicado: (2011) -
Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm
por: Tran, Minh-Trieu, et al.
Publicado: (2021) -
Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network
por: Yan, Ting, et al.
Publicado: (2023) -
Estimating effects of rare haplotypes on failure time using a penalized Cox proportional hazards regression model
por: Souverein, Olga W, et al.
Publicado: (2008) -
Tests for the proportional hazards assumption in the Cox model
por: Reiersølmoen, L, et al.
Publicado: (2001)