{"total":117,"rows":[{"id":"2107.07502","title":"MultiBench: Multiscale Benchmarks for Multimodal Representation Learning","created":"2021-07-15","cited_by_count":146,"area":null},{"id":"2204.07258","title":"Causal Transformer for Estimating Counterfactual Outcomes","created":"2022-04-14","cited_by_count":123,"area":null},{"id":"2307.02028","title":"EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models","created":"2023-07-05","cited_by_count":105,"area":null},{"id":"2312.07577","title":"Benchmarking Distribution Shift in Tabular Data with TableShift","created":"2023-12-10","cited_by_count":66,"area":null},{"id":"2306.09368","title":"Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series","created":"2023-06-14","cited_by_count":55,"area":null},{"id":"2112.12047","title":"Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications","created":"2021-12-22","cited_by_count":47,"area":null},{"id":"2306.11547","title":"Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events","created":"2023-06-20","cited_by_count":46,"area":null},{"id":"2202.01034","title":"Diagnosing failures of fairness transfer across distribution shift in real-world medical settings","created":"2022-02-02","cited_by_count":45,"area":null},{"id":"2204.13841","title":"An Extensive Data Processing Pipeline for MIMIC-IV","created":"2022-04-29","cited_by_count":40,"area":null},{"id":"2207.09858","title":"GenHPF: General Healthcare Predictive Framework with Multi-task Multi-source Learning","created":"2022-07-20","cited_by_count":36,"area":null},{"id":"2107.02975","title":"Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review","created":"2021-07-07","cited_by_count":35,"area":null},{"id":"2411.06469","title":"ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?","created":"2024-11-10","cited_by_count":32,"area":null},{"id":"2111.11017","title":"Benchmarking emergency department triage prediction models with machine learning and large public electronic health records","created":"2021-11-22","cited_by_count":31,"area":null},{"id":"2203.01228","title":"Estimating average causal effects from patient trajectories","created":"2022-03-02","cited_by_count":29,"area":null},{"id":"2107.14317","title":"Temporal Dependencies in Feature Importance for Time Series Predictions","created":"2021-07-29","cited_by_count":27,"area":null},{"id":"2110.15763","title":"How to Leverage Multimodal EHR Data for Better Medical Predictions?","created":"2021-10-29","cited_by_count":26,"area":null},{"id":"2310.17463","title":"Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation","created":"2023-10-26","cited_by_count":26,"area":null},{"id":"2311.04937","title":"Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine","created":"2023-11-07","cited_by_count":24,"area":null},{"id":"2206.08478","title":"Classification of datasets with imputed missing values: does imputation quality matter?","created":"2022-06-16","cited_by_count":22,"area":null},{"id":"2205.05535","title":"Clinical Prompt Learning with Frozen Language Models","created":"2022-05-11","cited_by_count":19,"area":null},{"id":"2211.09259","title":"The Missing Indicator Method: From Low to High Dimensions","created":"2022-11-16","cited_by_count":19,"area":null},{"id":"2507.00191","title":"Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions","created":"2025-06-30","cited_by_count":18,"area":null},{"id":"2311.16026","title":"A Neural Framework for Generalized Causal Sensitivity Analysis","created":"2023-11-27","cited_by_count":17,"area":null},{"id":"2112.03013","title":"Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies","created":"2021-12-06","cited_by_count":16,"area":null},{"id":"2102.06761","title":"MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset","created":"2021-02-12","cited_by_count":15,"area":null},{"id":"2304.09270","title":"Coarse race data conceals disparities in clinical risk score performance","created":"2023-04-18","cited_by_count":15,"area":null},{"id":"2201.08186","title":"Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations","created":"2022-01-20","cited_by_count":14,"area":null},{"id":"2209.01754","title":"Learning from a Biased Sample","created":"2022-09-05","cited_by_count":14,"area":null},{"id":"2312.10308","title":"Event-Based Contrastive Learning for Medical Time Series","created":"2023-12-16","cited_by_count":13,"area":null},{"id":"2310.20204","title":"General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History","created":"2023-10-31","cited_by_count":12,"area":null},{"id":"2408.11854","title":"When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?","created":"2024-08-15","cited_by_count":12,"area":null},{"id":"2405.21012","title":"IGC-Net for conditional average potential outcome estimation over time","created":"2024-05-31","cited_by_count":10,"area":null},{"id":"2207.10603","title":"Unsupervised pre-training of graph transformers on patient population graphs","created":"2022-07-21","cited_by_count":9,"area":null},{"id":"2402.13448","title":"ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance","created":"2024-02-21","cited_by_count":9,"area":null},{"id":"2402.13410","title":"Bayesian Neural Networks with Domain Knowledge Priors","created":"2024-02-20","cited_by_count":8,"area":null},{"id":"2410.03514","title":"Stabilized Neural Prediction of Potential Outcomes in Continuous Time","created":"2024-10-04","cited_by_count":7,"area":null},{"id":"2110.08949","title":"Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards","created":"2021-10-17","cited_by_count":6,"area":null},{"id":"2208.06648","title":"Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness","created":"2022-08-13","cited_by_count":6,"area":null},{"id":"2412.11511","title":"Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets","created":"2024-12-16","cited_by_count":6,"area":null},{"id":"2507.07236","title":"Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification","created":"2025-07-09","cited_by_count":6,"area":null},{"id":"2205.13481","title":"DeepJoint: Robust Survival Modelling Under Clinical Presence Shift","created":"2022-05-26","cited_by_count":5,"area":null},{"id":"2401.15290","title":"Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset","created":"2024-01-27","cited_by_count":5,"area":null},{"id":"2403.12818","title":"Dynamic Survival Analysis for Early Event Prediction","created":"2024-03-19","cited_by_count":5,"area":null},{"id":"2504.20547","title":"Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records","created":"2025-04-29","cited_by_count":5,"area":null},{"id":"2107.08189","title":"BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark","created":"2021-07-17","cited_by_count":4,"area":null},{"id":"2204.07124","title":"Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine","created":"2022-04-14","cited_by_count":4,"area":null},{"id":"2211.08082","title":"UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge","created":"2022-11-15","cited_by_count":4,"area":null},{"id":"2306.06325","title":"Explaining a machine learning decision to physicians via counterfactuals","created":"2023-06-10","cited_by_count":4,"area":null},{"id":"2407.00242","title":"EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models","created":"2024-06-28","cited_by_count":4,"area":null},{"id":"2411.16346","title":"Towards Foundation Models for Critical Care Time Series","created":"2024-11-25","cited_by_count":4,"area":null},{"id":"2303.06980","title":"Self-supervised learning-based general laboratory progress pretrained model for cardiovascular event detection","created":"2023-03-13","cited_by_count":3,"area":null},{"id":"2306.01970","title":"Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit","created":"2023-06-03","cited_by_count":3,"area":null},{"id":"2311.16588","title":"Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation","created":"2023-11-28","cited_by_count":3,"area":null},{"id":"2403.01628","title":"Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium","created":"2024-03-03","cited_by_count":3,"area":null},{"id":"2506.01533","title":"A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments","created":"2025-06-02","cited_by_count":3,"area":null},{"id":"2506.04831","title":"EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records","created":"2025-06-05","cited_by_count":3,"area":null},{"id":"2510.19643","title":"Overlap-weighted orthogonal meta-learner for treatment effect estimation over time","created":"2025-10-22","cited_by_count":3,"area":null},{"id":"2601.11606","title":"A Multimodal Data Processing Pipeline for MIMIC-IV Dataset","created":"2026-01-08","cited_by_count":3,"area":null},{"id":"2203.12616","title":"Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions","created":"2022-03-23","cited_by_count":2,"area":null},{"id":"2208.00993","title":"MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning","created":"2022-08-01","cited_by_count":2,"area":null},{"id":"2211.07530","title":"A Survey on Preserving Fairness Guarantees in Changing Environments","created":"2022-11-14","cited_by_count":2,"area":null},{"id":"2303.01841","title":"Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections","created":"2023-03-03","cited_by_count":2,"area":null},{"id":"2305.02474","title":"MLHOps: Machine Learning for Healthcare Operations","created":"2023-05-04","cited_by_count":2,"area":null},{"id":"2305.03662","title":"Causal Discovery with Stage Variables for Health Time Series","created":"2023-05-05","cited_by_count":2,"area":null},{"id":"2311.00886","title":"COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning","created":"2023-11-01","cited_by_count":2,"area":null},{"id":"2406.12738","title":"Large Language Model as a Universal Clinical Multi-task Decoder","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2411.00126","title":"Training and Evaluating Causal Forecasting Models for Time-Series","created":"2024-10-31","cited_by_count":2,"area":null},{"id":"2412.03576","title":"Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice","created":"2024-11-18","cited_by_count":2,"area":null},{"id":"2503.22257","title":"DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation","created":"2025-03-28","cited_by_count":2,"area":null},{"id":"2506.12808","title":"Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises","created":"2025-06-15","cited_by_count":2,"area":null},{"id":"2506.13104","title":"Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding","created":"2025-06-16","cited_by_count":2,"area":null},{"id":"2507.02843","title":"LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding","created":"2025-07-03","cited_by_count":2,"area":null},{"id":"2508.05472","title":"Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2508.18313","title":"ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions","created":"2025-08-23","cited_by_count":2,"area":null},{"id":"2511.11935","title":"SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysis","created":"2025-11-14","cited_by_count":2,"area":null},{"id":"2511.14545","title":"DeepBlip: Estimating Conditional Average Treatment Effects Over Time","created":"2025-11-18","cited_by_count":2,"area":null},{"id":"2604.16878","title":"OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction","created":"2026-04-18","cited_by_count":2,"area":null},{"id":"2110.08918","title":"Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions","created":"2021-10-17","cited_by_count":1,"area":null},{"id":"2204.06604","title":"EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts","created":"2022-04-13","cited_by_count":1,"area":null},{"id":"2207.02941","title":"Boosting the interpretability of clinical risk scores with intervention predictions","created":"2022-07-06","cited_by_count":1,"area":null},{"id":"2207.11382","title":"Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data","created":"2022-07-23","cited_by_count":1,"area":null},{"id":"2301.10887","title":"Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text","created":"2023-01-26","cited_by_count":1,"area":null},{"id":"2403.15724","title":"PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents","created":"2024-03-23","cited_by_count":1,"area":null},{"id":"2406.10563","title":"Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data","created":"2024-06-15","cited_by_count":1,"area":null},{"id":"2411.03004","title":"Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Status","created":"2024-11-05","cited_by_count":1,"area":null},{"id":"2502.16477","title":"Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health","created":"2025-02-23","cited_by_count":1,"area":null},{"id":"2508.16748","title":"FairSSL: Fair Multimodal Self-Supervised Learning","created":"2025-08-22","cited_by_count":1,"area":null},{"id":"2509.08247","title":"The CRITICAL Records Integrated Standardization Pipeline (CRISP): End-to-End Processing of Large-scale Multi-institutional OMOP CDM Data","created":"2025-09-10","cited_by_count":1,"area":null},{"id":"2603.11565","title":"CAETC: Causal Autoencoding and Treatment Conditioning for Counterfactual Estimation over Time","created":"2026-03-12","cited_by_count":1,"area":null},{"id":"2604.22534","title":"FeatEHR-LLM: Leveraging Large Language Models for Feature Engineering in Electronic Health Records","created":"2026-04-24","cited_by_count":1,"area":null},{"id":"2606.05797","title":"Causal Longitudinal Prior-Fitted Networks for Counterfactual Outcome Prediction","created":"2026-06-04","cited_by_count":1,"area":null},{"id":"2305.10201","title":"Echoes of Biases: How Stigmatizing Language Affects AI Performance","created":"2023-05-17","cited_by_count":0,"area":null},{"id":"2307.13503","title":"Continuous Time Evidential Distributions for Irregular Time Series","created":"2023-07-25","cited_by_count":0,"area":null},{"id":"2309.11373","title":"Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)","created":"2023-09-20","cited_by_count":0,"area":null},{"id":"2311.09200","title":"Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?","created":"2023-11-15","cited_by_count":0,"area":null},{"id":"2402.04668","title":"A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data","created":"2024-02-07","cited_by_count":0,"area":null},{"id":"2411.06338","title":"CRTRE: Causal Rule Generation with Target Trial Emulation Framework","created":"2024-11-10","cited_by_count":0,"area":null},{"id":"2411.16790","title":"Learning Predictive Checklists with Probabilistic Logic Programming","created":"2024-11-25","cited_by_count":0,"area":null},{"id":"2501.10240","title":"Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide","created":"2025-01-17","cited_by_count":0,"area":null},{"id":"2501.13587","title":"Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management","created":"2025-01-23","cited_by_count":0,"area":null}],"next_cursor":"100"}