Cargando…
SurvNet: A Novel Deep Neural Network for Lung Cancer Survival Analysis With Missing Values
Survival analysis is important for guiding further treatment and improving lung cancer prognosis. It is a challenging task because of the poor distinguishability of features and the missing values in practice. A novel multi-task based neural network, SurvNet, is proposed in this paper. The proposed...
Autores principales: | Wang, Jianyong, Chen, Nan, Guo, Jixiang, Xu, Xiuyuan, Liu, Lunxu, Yi, Zhang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7855857/ https://www.ncbi.nlm.nih.gov/pubmed/33552965 http://dx.doi.org/10.3389/fonc.2020.588990 |
Ejemplares similares
-
SurvNet Electronic Surveillance System for Infectious Disease Outbreaks, Germany
por: Krause, Gérard, et al.
Publicado: (2007) -
SurvNet: a web server for identifying network-based biomarkers that most correlate with patient survival data
por: Li, Jun, et al.
Publicado: (2012) -
The predictive value of modified-DeepSurv in overall survivals of patients with lung cancer
por: Lei, Jie, et al.
Publicado: (2023) -
DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images
por: Zadeh Shirazi, Amin, et al.
Publicado: (2020) -
Development and Validation of a DeepSurv Nomogram to Predict Survival Outcomes and Guide Personalized Adjuvant Chemotherapy in Non-Small Cell Lung Cancer
por: Yang, Bin, et al.
Publicado: (2022)