#survival-analysis News & Analysis

3 articles tagged with #survival-analysis. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 116/10

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Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation

Researchers propose a lightweight adaptation method to apply tabular foundation models to clinical survival analysis, demonstrating that pretrained representations combined with survival-aware objectives outperform traditional approaches. Testing on MIMIC-IV and eICU datasets shows 1.4-1.7% improvements over strong baselines like DeepSurv in predicting patient mortality and time-to-event outcomes.

AINeutralarXiv – CS AI · May 296/10

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Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis

Researchers propose using genetic programming to evolve interpretable feature sets and tree structures for survival analysis models, demonstrating improved predictive performance while maintaining shallow, explainable decision trees. The approach addresses the fundamental trade-off between accuracy and interpretability in medical survival prediction by optimizing both feature construction and tree logic simultaneously.

GeneralNeutralarXiv – CS AI · Jun 232/10

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Brownian Motion with a Pulse: A Biostatistician's Guide to Diffusions, Bridges, Functional PCA, and First-Passage Models

This arXiv preprint is a biostatistics tutorial on Brownian motion and related stochastic processes, covering mathematical foundations and applied biomedical use cases. The paper connects rigorous probability theory to practical modeling decisions in longitudinal data, degradation analysis, and clinical monitoring—topics unrelated to cryptocurrency or financial markets.