This repository summarizes important materials related to the survey paper about Machine Learning for Survival Analysis: A Survey. In the survey, we provide a comprehensive and structured review of the statistical methods typically used and the machine learning techniques developed for survival analysis, along with a detailed taxonomy of the existing methods. We also discuss several topics that are closely related to survival analysis and describe several successful applications in a variety of real-world application domains. We hope that this article will give readers a more comprehensive understanding of recent advances in survival analysis and offer some guidelines for applying these approaches to solve new problems arising in applications involving censored data. (Abstract of the paper)
Ping Wang, Yan Li, and Chandan K. Reddy. "Machine learning for survival analysis: A survey." ACM Computing Surveys (CSUR). 51, 6 (2019), 36 pages.
@article{wang2019machine,
title={Machine learning for survival analysis: A survey},
author={Wang, Ping and Li, Yan and Reddy, Chandan K},
journal={ACM Computing Surveys (CSUR)},
volume={51},
number={6},
pages={1--36},
year={2019},
publisher={ACM New York, NY, USA}
}
- Paper: https://dl.acm.org/doi/abs/10.1145/3214306
- Supplemental Material: https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3214306&file=wang.zip&download=true
- Tutorial website (KDD 2017): http://dmkd.cs.vt.edu/TUTORIAL/Survival/
- Tutorial Slides: http://dmkd.cs.vt.edu/TUTORIAL/Survival/Slides.pdf
- Tutorial Videos: Part-1, Part-2
- Related Datasets: http://dmkd.cs.vt.edu/projects/survival/data/
- Related packages: http://dmkd.cs.vt.edu/projects/survival/software/
