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Ictsurf: Implicit Continuous-Time Survival Functions with Neural Networks

https://doi.org/10.2139/ssrn.4770656
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Evaluating the yield of medical tests
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Assessment and comparison of prognostic classification schemes for survival data
inferredcites →https://doi.org/10.1002/sim.2427openalex-extracted
A time‐dependent discrimination index for survival data
inferredcites →https://doi.org/10.1002/sim.4154openalex-extracted
On the C‐statistics for evaluating overall adequacy of risk prediction procedures with censored survival data
inferredcites →https://doi.org/10.1002/sim.4780140108openalex-extracted
A neural network model for survival data
inferredcites →https://doi.org/10.1002/sim.5452openalex-extracted
Generating survival times to simulate Cox proportional hazards models with time‐varying covariates
inferredcites →https://doi.org/10.1007/978-3-030-47426-3_53openalex-extracted
Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis
inferredcites →https://doi.org/10.1007/s10462-023-10681-3openalex-extracted
Deep learning for survival analysis: a review
inferredcites →https://doi.org/10.1007/s10985-021-09532-6openalex-extracted
Continuous and discrete-time survival prediction with neural networks
inferredcites →https://doi.org/10.1038/nature10983openalex-extracted
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
inferredcites →https://doi.org/10.1109/jbhi.2021.3052441openalex-extracted
Deep Survival Machines : Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks
inferredcites →https://doi.org/10.1109/tbme.2019.2909027openalex-extracted
Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
inferredcites →https://doi.org/10.1111/j.2517-6161.1972.tb00899.xopenalex-extracted
Regression Models and Life-Tables
inferredcites →https://doi.org/10.1186/s12874-018-0482-1openalex-extracted
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
inferredcites →https://doi.org/10.1609/aaai.v32i1.11842openalex-extracted
DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks
inferredcites →https://doi.org/10.24963/ijcai.2023/442openalex-extracted
Learning Survival Distribution with Implicit Survival Function
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-extracted
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-extracted
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1803.08375openalex-extracted
Deep Learning using Rectified Linear Units (ReLU)
inferredcites →https://doi.org/10.48550/arxiv.1907.00825openalex-extracted
Time-to-Event Prediction with Neural Networks and Cox Regression
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-extracted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2204.07276openalex-extracted
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
inferredcites →https://doi.org/10.5281/zenodo.20632938openalex-extracted
Spiral Time: A Geometric Reframing of Temporal Structure and Its Applications in Machine Learning
inferredcites →https://doi.org/10.7326/0003-4819-122-3-199502010-00007openalex-extracted
The SUPPORT Prognostic Model: Objective Estimates of Survival for Seriously Ill Hospitalized Adults
inferredcites →https://doi.org/10.7717/peerj.6257openalex-extracted
A scalable discrete-time survival model for neural networks
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