AI-based detection of worsening heart failure from low-resolution telemonitoring data

arXiv:2609.29742 · cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/aeerik/TRACER

Terminology

• Transformer — 37× in this paper · explained in 2 episodes
• Embeddings — 21× in this paper · explained in 2 episodes
• Contrastive Learning — 9× in this paper · explained in 5 episodes
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Alert Fatigue — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Long Short-Term Memory — 2× in this paper
• Time Series Forecasting — 2× in this paper · explained in 3 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Actionability — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Decision-Support Tool — 1× in this paper · explained in 2 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• Attention Is All You Need
• Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
• Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
• Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)
• What Makes for Good Views for Contrastive Learning?
• Learning Transferable Visual Models From Natural Language Supervision
• A Simple Framework for Contrastive Learning of Visual Representations
• Understanding the Benefits of SimCLR Pre-Training in Two-Layer Convolutional Neural Networks
• A Comprehensive Survey on Rare Event Prediction

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