Cover Image

Sample Selection Bias in Machine Learning for Healthcare

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chauhan, Vinod Kumar, Clifton, Lei, Salaün, Achille, Lu, Huiqi Yvonne, Branson, Kim, Schwab, Patrick, Nigam, Gaurav, Clifton, David A.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation
by: Segal, Bradley, et al.
Published: (2025)

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

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

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

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

Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
by: Wei, Qi, et al.
Published: (2024)

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

GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
by: Singh, Sukhdeep, et al.
Published: (2024)

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

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

Selecting Interpretability Techniques for Healthcare Machine Learning models
by: Sierra-Botero, Daniel, et al.
Published: (2024)

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

Multiple Importance Sampling for Stochastic Gradient Estimation
by: Salaün, Corentin, et al.
Published: (2024)

Online Importance Sampling for Stochastic Gradient Optimization
by: Salaün, Corentin, et al.
Published: (2023)

MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare
by: Nigam, Shubham Kumar, et al.
Published: (2026)

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

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

Evaluating Fair Feature Selection in Machine Learning for Healthcare
by: Zawad, Md Rahat Shahriar, et al.
Published: (2024)

Earthquake Damage Grades Prediction using An Ensemble Approach Integrating Advanced Machine and Deep Learning Models
by: Panda, Anurag, et al.
Published: (2025)

Mitigating Bias in Concept Bottleneck Models for Fair and Interpretable Image Classification
by: Tong, Schrasing, et al.
Published: (2026)

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

Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection
by: Liu, Huafeng, et al.
Published: (2024)

Planting Undetectable Backdoors in Machine Learning Models
by: Goldwasser, Shafi, et al.
Published: (2022)

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

HCR-Net: A deep learning based script independent handwritten character recognition network
by: Chauhan, Vinod Kumar, et al.
Published: (2021)

IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages
by: Nigam, Shubham Kumar, et al.
Published: (2026)

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse
by: Zhang, Ling-Qi, et al.
Published: (2026)

Learning Optimal Linear Precoding for Cell-Free Massive MIMO with GNN
by: Parlier, Benjamin, et al.
Published: (2024)

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

Automated Vigilance State Classification in Rodents Using Machine Learning and Feature Engineering
by: Jajee, Sankalp, et al.
Published: (2025)

Extremely Greedy Equivalence Search
by: Nazaret, Achille, et al.
Published: (2025)

LFaB: Low fidelity as Bias for Active Learning in the chemical configuration space
by: Vinod, Vivin, et al.
Published: (2025)

ForeCal: Random Forest-based Calibration for DNNs
by: Nigam, Dhruv
Published: (2024)

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

Assessing Non-Nested Configurations of Multifidelity Machine Learning for Quantum-Chemical Properties
by: Vinod, Vivin, et al.
Published: (2024)

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

Automated Ensemble Multimodal Machine Learning for Healthcare
by: Imrie, Fergus, et al.
Published: (2024)