A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization

arXiv:2607.14190 · cs.LG, cs.IR, stat.ML · Submitted 2026-07-15 · Read on arXiv

Zongliang Yue, Qi Li, Terry Heiman-Patterson, Frank Bearoff, Zhaohui Qin, Huanmei Wu

cs.LG, cs.IR, stat.ML

Submitted: 2026-07-15

Code: https://github.com/qilimk/alsdigital-twin-app

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Digital Twin — 13× in this paper · explained in 6 episodes
• Clustering — 10× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Interpretability — 5× in this paper · explained in 15 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Multimodal Integration — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Coherence — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 4 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Longitudinal Data — 1× in this paper · explained in 2 episodes
• Monotonicity — 1× in this paper · explained in 2 episodes
• Residual Connections — 1× in this paper · explained in 3 episodes
• Selection Bias — 1× in this paper · explained in 5 episodes
• Transformer Architecture — 1× in this paper · explained in 4 episodes
• Transformer Encoder — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 6 episodes
• Verification — 1× in this paper · explained in 2 episodes

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