Article

Can interpretability and accuracy coexist in cancer survival analysis?

2025-04-17

Abstract excerpt

Survival analysis refers to statistical procedures used to analyze data that focuses on the time until an event occurs, such as death in cancer patients. Traditionally, the linear Cox Proportional Hazards (CPH) model is widely used due to its inherent interpretability. CPH model help identify key disease-associated factors (through feature weights), providing insights into patient risk of death. However, their rel...

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Literature Corpus work: a3339fae-582a-5477-8d10-e716023b2a78
DOI: 10.1101/2025.04.11.648380

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