Cover Image

Paging Dr. GPT: Extracting Information from Clinical Notes to Enhance Patient Predictions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Anderson, David, Anderson, Michaela, Bjarnadottir, Margret, Mahar, Stephen, Reyya, Shriyan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Using LLMs to create analytical datasets: A case study of reconstructing the historical memory of Colombia
by: Anderson, David, et al.
Published: (2025)

Evaluating Large Language Models for Causal Modeling
by: Razouk, Houssam, et al.
Published: (2024)

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration
by: Deng, Minghang, et al.
Published: (2025)

Enhancing Transformer RNNs with Multiple Temporal Perspectives
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model
by: Shao, Zhiqi, et al.
Published: (2024)

Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models
by: Venkatasubramanian, Venkat, et al.
Published: (2024)

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
by: Blair-Stanek, Andrew, et al.
Published: (2023)

Interpretable Clinical Classification with Kolmogorov-Arnold Networks
by: Almodóvar, Alejandro, et al.
Published: (2025)

From Days to Minutes: An Autonomous AI Agent Achieves Reliable Clinical Triage in Remote Patient Monitoring
by: Kim, Seunghwan, et al.
Published: (2026)

Aspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews
by: Taskooh, Hamidreza Kazemi, et al.
Published: (2026)

Prediction Instability in Machine Learning Ensembles
by: Kedziora, Jeremy
Published: (2024)

Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard
by: Plevris, Vagelis, et al.
Published: (2023)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
by: Goldstein, Daniel, et al.
Published: (2026)

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

Correcting Gradient-Based Circuit Localization via Interaction-Aware Backpropagation
by: Edin, Joakim, et al.
Published: (2025)

NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation
by: Saito, Kei
Published: (2025)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
by: Xing, Eric, et al.
Published: (2024)

CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising Quality
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
by: Saito, Kei
Published: (2026)

RWKV-7 "Goose" with Expressive Dynamic State Evolution
by: Peng, Bo, et al.
Published: (2025)

ACCORD: Closing the Commonsense Measurability Gap
by: Roewer-Després, François, et al.
Published: (2024)

Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation
by: Yan, Ranhui, et al.
Published: (2025)

Fanar: An Arabic-Centric Multimodal Generative AI Platform
by: Fanar Team, et al.
Published: (2025)

Syntactic Blind Spots: How Misalignment Leads to LLMs Mathematical Errors
by: Williamson, Dane, et al.
Published: (2025)

LLMs and the Human Condition
by: Wallis, Peter
Published: (2024)

Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations
by: Ferenczi, Bryce, et al.
Published: (2024)

PCA- and SVM-Grad-CAM for Convolutional Neural Networks: Closed-form Jacobian Expression
by: Omae, Yuto
Published: (2025)

Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance
by: Delahunt, Charles B., et al.
Published: (2026)

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks
by: Wang, Tuo, et al.
Published: (2025)

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates
by: Kaplanski, Pawel
Published: (2026)

Incentives or Ontology? A Structural Rebuttal to OpenAI's Hallucination Thesis
by: Ackermann, Richard, et al.
Published: (2025)

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
by: Vegner, Ivan, et al.
Published: (2025)

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
by: Baxi, Rahul
Published: (2025)

Graph Language Models
by: Plenz, Moritz, et al.
Published: (2024)

Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models
by: Muñoz, J. Pablo, et al.
Published: (2025)

Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
by: Guo, Xu, et al.
Published: (2024)

Training Language Models to Win Debates with Self-Play Improves Judge Accuracy
by: Arnesen, Samuel, et al.
Published: (2024)

Carefully Structured Compression: Efficiently Managing StarCraft II Data
by: Ferenczi, Bryce, et al.
Published: (2024)