DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network by Jared Katzman, Uri Shaham, Jonathan Bates, Alexander Cloninger, Tingting Jiang, Yuval Kluger . ACML 2016
Source: https://arxiv.org/abs/1606.00931
Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models by S Yousefi, F Amrollahi, M Amgad, C Dong, JE Lewis… - Scientific Reports, 2017 - nature.com.
Source: https://www.nature.com/articles/s41598-017-11817-6
A Risk Stratification Model for Lung Cancer Based on Gene Coexpression Network and Deep Learning by Hongyoon Choi
, Kwon Joong Na, BioMed Research International 2018.
Source: http://downloads.hindawi.com/journals/bmri/aip/2914280.pdf
Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework by Stephane Fotso.2018
Source: https://arxiv.org/abs/1801.05512
Scalable Joint Models for Reliable
Uncertainty-Aware Event Prediction by Hossein Soleimani, James Hensman, and Suchi Saria. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017
Source: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8013802
Application of random survival forests in understanding the determinants of under-five child mortality in Uganda in the presence of covariates that satisfy the proportional and non-proportional hazards assumption by Justine B. Nasejje, Henry Mwambi. BMC Research Notes 2017
Source: https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-017-2775-6
17.Posterior Consistency for a Non-parametric Survival Model under a Gaussian Process Prior by Tamara Fernández, Yee Whye Teh . 2016
Source: https://arxiv.org/abs/1611.02335
A comparison of the conditional inference survival forest model to random survival forests based on a simulation study as well as on two applications with time-to-event data byJustine B. NasejjeEmail author, Henry Mwambi, Keertan Dheda and Maia Lesosky. BMC Medical Research MethodologyBMC series – open, inclusive and trusted 2017
Source: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-017-0383-8
A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme by Jiangwei Lao, Yinsheng Chen, Zhi-Cheng Li, Qihua Li, Ji Zhang, Jing Liu & Guangtao Zhai. Scientific Reports, Nature 2017
Source: https://www.nature.com/articles/s41598-017-10649-8