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2 results for “time-to-event”
SPIN Processed News Frame: The Hype
A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization
Researchers introduced a temporal machine learning model that predicts ALS progression milestones—especially wheelchair access—by integrating longitudinal clinical data and domain-specific functional decline patterns.
Spin 45% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Jul 18, 2026
SPIN Processed News Frame: The Hype
A Filtered Mixture-of-Generators for Fully Synthetic Survival Training
FoGS is a new synthetic data method for survival analysis that improves model performance on scarce clinical data by filtering outputs from multiple generative models using real-data-trained survival scorers, enabling viable real-data substitution in privacy-restricted settings.
Spin 40% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Published Jul 2, 2026 · Analyzed Jul 5, 2026