Table 2 Authors and titles of the articles included in this review
Author/s | Publication date | Title | Journal |
|---|---|---|---|
Xiang et al. [23] | 2000 | Comparison of the performance of neural network methods and Cox regression for censored survival data | Computational Statistics and Data Analysis |
Omurlu et al. [24] | 2009 | The comparisons of random survival forests and Cox regression analysis with simulation and an application related to breast cancer | Expert Systems with Applications |
Lowsky et al. [25] | 2012 | A K-nearest neighbors survival probability prediction method | Statistics in Medicine |
Geng et al. [26] | 2014 | A Model-Free Machine Learning Method for Risk Classification and Survival Probability Prediction | Stat |
Gong et al. [27] | 2018 | Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time-to-Event Analysis | Clinical and Translational Science |
Hu and Steingrimsson [28] | 2018 | Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests | Journal of Biopharmaceutical Statistics |
Katzman et al. [29] | 2018 | DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network | BMC Medical Research Methodology |
Wang and Li [30] | 2019 | Extreme learning machine Cox model for high-dimensional survival analysis | Statistics in Medicine |
Golmakani and Polley [31] | 2020 | Super Learner for Survival Data Prediction | International Journal of Biostatistics |
Steingrimsson and Morrison [32] | 2020 | Deep learning for survival outcomes | Statistics in Medicine |