Abstract
Advances in survival analysis have facilitated unprecedented flexibility in data modeling, yet there remains a lack of tools for illustrating the influence of continuous covariates on predicted survival outcomes. We propose the utilization of a colored contour plot to depict the predicted survival probabilities over time. Our approach is capable of supporting conventional models, including the Cox and Fine-Gray models. However, its capability shines when coupled with cutting-edge machine learning models such as random survival forests and deep neural networks.
Original language | English (US) |
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Article number | vbae105 |
Journal | Bioinformatics Advances |
Volume | 4 |
Issue number | 1 |
DOIs | |
State | Published - 2024 |
Externally published | Yes |
ASJC Scopus subject areas
- Structural Biology
- Molecular Biology
- Genetics
- Computer Science Applications