Copertina

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Segal, Bradley, Fieggen, Joshua, Clifton, David, Clifton, Lei
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
di: Thakur, Anshul, et al.
Pubblicazione: (2026)

Geometric Characterisation and Structured Trajectory Surrogates for Clinical Dataset Condensation
di: Nganjimi, Pafue Christy, et al.
Pubblicazione: (2026)

Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
di: Chauhan, Vinod Kumar, et al.
Pubblicazione: (2025)

Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
di: Nganjimi, Pafue Christy, et al.
Pubblicazione: (2025)

RiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction
di: Liu, Fenglin, et al.
Pubblicazione: (2025)

Optimization-Inspired Few-Shot Adaptation for Large Language Models
di: Gao, Boyan, et al.
Pubblicazione: (2025)

Lightweight Transformers for Clinical Natural Language Processing
di: Rohanian, Omid, et al.
Pubblicazione: (2023)

Sample Selection Bias in Machine Learning for Healthcare
di: Chauhan, Vinod Kumar, et al.
Pubblicazione: (2024)

CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
di: Zhou, Rushuang, et al.
Pubblicazione: (2024)

A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report
di: Clifton, Chris, et al.
Pubblicazione: (2022)

Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals
di: Gu, Xiao, et al.
Pubblicazione: (2025)

Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization
di: Gu, Boyang, et al.
Pubblicazione: (2025)

Aggregation on Learnable Manifolds for Asynchronous Federated Optimization
di: Licudi, Archie, et al.
Pubblicazione: (2025)

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data
di: Ba, Yang, et al.
Pubblicazione: (2024)

Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine
di: Liu, Fenglin, et al.
Pubblicazione: (2022)

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis
di: Thakur, Anshul, et al.
Pubblicazione: (2024)

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction
di: Zhu, Mingcheng, et al.
Pubblicazione: (2025)

SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG
di: Gustafsson, Fredrik K., et al.
Pubblicazione: (2026)

Synthetic Data Reveals Generalization Gaps in Correlated Multiple Instance Learning
di: Harvey, Ethan, et al.
Pubblicazione: (2025)

Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing
di: Rohanian, Omid, et al.
Pubblicazione: (2023)

A Brief Review of Hypernetworks in Deep Learning
di: Chauhan, Vinod Kumar, et al.
Pubblicazione: (2023)

A Reinforcement Learning Approach to Synthetic Data Generation
di: Espinosa-Dice, Natalia, et al.
Pubblicazione: (2025)

Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation
di: Gao, Boyan, et al.
Pubblicazione: (2025)

SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging
di: Pourreza, Mohammadreza, et al.
Pubblicazione: (2024)

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons
di: Tang, Wei, et al.
Pubblicazione: (2026)

Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation
di: Kuo, Nicholas I-Hsien, et al.
Pubblicazione: (2024)

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation
di: Byun, Jessup, et al.
Pubblicazione: (2025)

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
di: Chauhan, Vinod Kumar, et al.
Pubblicazione: (2023)

TrialSynth: Generation of Synthetic Sequential Clinical Trial Data
di: Gao, Chufan, et al.
Pubblicazione: (2024)

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
di: Liu, Sihao, et al.
Pubblicazione: (2024)

Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting
di: Ward, Joshua, et al.
Pubblicazione: (2026)

Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction
di: Gustafsson, Fredrik K., et al.
Pubblicazione: (2026)

On the Validity of Head Motion Patterns as Generalisable Depression Biomarkers
di: Gahalawat, Monika, et al.
Pubblicazione: (2025)

Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model
di: Liu, Zhangdaihong, et al.
Pubblicazione: (2026)

Valid Inference with Imperfect Synthetic Data
di: Byun, Yewon, et al.
Pubblicazione: (2025)

Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
di: Xiao, Jiancong, et al.
Pubblicazione: (2024)

AI Generalisation Gap In Comorbid Sleep Disorder Staging
di: Bose, Saswata, et al.
Pubblicazione: (2026)

Synthetic Flight Data Generation Using Generative Models
di: Aly, Karim, et al.
Pubblicazione: (2026)

Debiasing Synthetic Data Generated by Deep Generative Models
di: Decruyenaere, Alexander, et al.
Pubblicazione: (2024)

Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability
di: Vaeth, Philipp, et al.
Pubblicazione: (2024)