Automatic identification of diagnosis from hospital discharge letters via weakly supervised Natural Language Processing

arXiv:2410.15051 · cs.CL, cs.LG · Submitted 2024-10-19 · Read on arXiv

cs.CL, cs.LG

Submitted: 2024-10-19

Updated: 2026-06-12

Terminology

• Clustering — 61× in this paper · explained in 2 episodes
• Transformer — 38× in this paper · explained in 2 episodes
• Natural Language Processing — 18× in this paper
• Embeddings — 15× in this paper · explained in 2 episodes
• AUROC — 14× in this paper · explained in 2 episodes
• AUC — 7× in this paper · explained in 2 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Electronic Health Records — 5× in this paper
• Generalizability — 4× in this paper · explained in 6 episodes
• Annotator Agreement — 2× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• Transformer Models — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adjusted Rand Index — 1× in this paper
• Aggregation — 1× in this paper · explained in 1 episode
• Computational Biology — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Hierarchical Classification — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Normalized Mutual Information — 1× in this paper
• Objective Function — 1× in this paper · explained in 2 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Principal Component Analysis — 1× in this paper
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA
• Rethinking embedding coupling in pre-trained language models

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