{"total":252,"rows":[{"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":"2108.13461","title":"Time Series Prediction using Deep Learning Methods in Healthcare","created":"2021-08-30","cited_by_count":74,"area":null},{"id":"2202.12998","title":"Integrated multimodal artificial intelligence framework for healthcare applications","created":"2022-02-25","cited_by_count":71,"area":null},{"id":"2302.02515","title":"Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey","created":"2023-02-06","cited_by_count":68,"area":null},{"id":"2209.11715","title":"The \"Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices","created":"2022-09-23","cited_by_count":63,"area":null},{"id":"2202.05656","title":"Evaluation of post-hoc interpretability methods in time-series classification","created":"2022-02-11","cited_by_count":53,"area":null},{"id":"2106.07875","title":"S-LIME: Stabilized-LIME for Model Explanation","created":"2021-06-15","cited_by_count":52,"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":"2111.08446","title":"Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions","created":"2021-11-03","cited_by_count":43,"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":"2107.09951","title":"Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies","created":"2021-07-21","cited_by_count":34,"area":null},{"id":"2103.11163","title":"An Empirical Framework for Domain Generalization in Clinical Settings","created":"2021-03-20","cited_by_count":32,"area":null},{"id":"2111.11665","title":"RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR","created":"2021-11-23","cited_by_count":32,"area":null},{"id":"2405.14567","title":"EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records","created":"2024-05-23","cited_by_count":32,"area":null},{"id":"2311.11483","title":"A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records","created":"2023-11-20","cited_by_count":31,"area":null},{"id":"2102.02340","title":"MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records","created":"2021-02-03","cited_by_count":30,"area":null},{"id":"2203.09978","title":"WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series","created":"2022-03-18","cited_by_count":30,"area":null},{"id":"2303.12961","title":"The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs","created":"2023-03-22","cited_by_count":29,"area":null},{"id":"2311.10798","title":"INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis","created":"2023-11-17","cited_by_count":27,"area":null},{"id":"2502.17403","title":"Large Language Models are Powerful Electronic Health Record Encoders","created":"2025-02-24","cited_by_count":26,"area":null},{"id":"2102.03340","title":"NRTSI: Non-Recurrent Time Series Imputation","created":"2021-02-05","cited_by_count":25,"area":null},{"id":"2108.03625","title":"Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding","created":"2021-08-08","cited_by_count":24,"area":null},{"id":"2304.04780","title":"A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?","created":"2023-04-10","cited_by_count":24,"area":null},{"id":"2404.01273","title":"TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model","created":"2024-04-01","cited_by_count":24,"area":null},{"id":"2402.07016","title":"REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models","created":"2024-02-10","cited_by_count":23,"area":null},{"id":"2101.03940","title":"Predicting Patient Outcomes with Graph Representation Learning","created":"2021-01-11","cited_by_count":21,"area":null},{"id":"2111.08374","title":"Literature-Augmented Clinical Outcome Prediction","created":"2021-11-16","cited_by_count":20,"area":null},{"id":"2502.09885","title":"Comprehensive Review of Neural Differential Equations for Time Series Analysis","created":"2025-02-14","cited_by_count":20,"area":null},{"id":"2506.10412","title":"Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series","created":"2025-06-12","cited_by_count":19,"area":null},{"id":"2111.02922","title":"Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series","created":"2021-11-04","cited_by_count":16,"area":null},{"id":"2112.06211","title":"Quantum kernels for real-world predictions based on electronic health records","created":"2021-12-12","cited_by_count":15,"area":null},{"id":"2110.15803","title":"Natural Language Processing for Smart Healthcare","created":"2021-10-19","cited_by_count":14,"area":null},{"id":"2203.14469","title":"Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis","created":"2022-03-28","cited_by_count":14,"area":null},{"id":"2204.06766","title":"Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission","created":"2022-04-14","cited_by_count":14,"area":null},{"id":"2309.07438","title":"Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges","created":"2023-09-14","cited_by_count":14,"area":null},{"id":"2311.01066","title":"Dynamic Multimodal Information Bottleneck for Multimodality Classification","created":"2023-11-02","cited_by_count":14,"area":null},{"id":"2201.10113","title":"Multimodal data matters: language model pre-training over structured and unstructured electronic health records","created":"2022-01-25","cited_by_count":13,"area":null},{"id":"2210.10703","title":"AUC-based Selective Classification","created":"2022-10-19","cited_by_count":13,"area":null},{"id":"2306.04802","title":"A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises","created":"2023-06-07","cited_by_count":13,"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":"2108.02550","title":"VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models","created":"2021-08-04","cited_by_count":12,"area":null},{"id":"2108.12931","title":"NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks","created":"2021-08-29","cited_by_count":12,"area":null},{"id":"2310.18688","title":"Clairvoyance: A Pipeline Toolkit for Medical Time Series","created":"2023-10-28","cited_by_count":12,"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":"2405.11034","title":"Safety in Graph Machine Learning: Threats and Safeguards","created":"2024-05-17","cited_by_count":11,"area":null},{"id":"2504.10422","title":"Foundation models for electronic health records: representation dynamics and transferability","created":"2025-04-14","cited_by_count":11,"area":null},{"id":"2105.10360","title":"Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices","created":"2021-05-21","cited_by_count":10,"area":null},{"id":"2110.04943","title":"SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records","created":"2021-10-11","cited_by_count":10,"area":null},{"id":"2101.11430","title":"An Explainable CNN Approach for Medical Codes Prediction from Clinical Text","created":"2021-01-14","cited_by_count":9,"area":null},{"id":"2102.05638","title":"Generating Synthetic Text Data to Evaluate Causal Inference Methods","created":"2021-02-10","cited_by_count":9,"area":null},{"id":"2310.19917","title":"Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models","created":"2023-10-30","cited_by_count":9,"area":null},{"id":"2104.03969","title":"Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation","created":"2021-04-08","cited_by_count":8,"area":null},{"id":"2312.03998","title":"Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification","created":"2023-12-07","cited_by_count":8,"area":null},{"id":"2403.10573","title":"Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking","created":"2024-03-15","cited_by_count":8,"area":null},{"id":"2407.12849","title":"Large language models are good medical coders, if provided with tools","created":"2024-07-06","cited_by_count":8,"area":null},{"id":"2410.17781","title":"Evaluating Explanations Through LLMs: Beyond Traditional User Studies","created":"2024-10-23","cited_by_count":8,"area":null},{"id":"2111.04898","title":"Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives","created":"2021-11-09","cited_by_count":7,"area":null},{"id":"2203.03445","title":"S-Rocket: Selective Random Convolution Kernels for Time Series Classification","created":"2022-03-07","cited_by_count":7,"area":null},{"id":"2210.15901","title":"Mitigating Health Disparities in EHR via Deconfounder","created":"2022-10-28","cited_by_count":7,"area":null},{"id":"2302.03246","title":"CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data","created":"2023-02-07","cited_by_count":7,"area":null},{"id":"2309.05675","title":"SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation","created":"2023-09-09","cited_by_count":7,"area":null},{"id":"2408.09224","title":"Neuro-Symbolic AI for Military Applications","created":"2024-08-17","cited_by_count":7,"area":null},{"id":"2103.00342","title":"Constrained Differentially Private Federated Learning for Low-bandwidth Devices","created":"2021-02-27","cited_by_count":6,"area":null},{"id":"2104.05261","title":"Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment","created":"2021-04-12","cited_by_count":6,"area":null},{"id":"2209.09023","title":"Artificial Intelligence for In Silico Clinical Trials: A Review","created":"2022-09-16","cited_by_count":6,"area":null},{"id":"2307.03687","title":"Leveraging text data for causal inference using electronic health records","created":"2023-06-09","cited_by_count":6,"area":null},{"id":"2106.04462","title":"Muddling Label Regularization: Deep Learning for Tabular Datasets","created":"2021-06-08","cited_by_count":5,"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":"2206.10381","title":"TabText: Language-Based Representations of Tabular Health Data for Predictive Modelling","created":"2022-06-21","cited_by_count":5,"area":null},{"id":"2210.08995","title":"AI, Opacity, and Personal Autonomy","created":"2022-09-25","cited_by_count":5,"area":null},{"id":"2303.06269","title":"DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record","created":"2023-03-11","cited_by_count":5,"area":null},{"id":"2308.03210","title":"Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series","created":"2023-08-06","cited_by_count":5,"area":null},{"id":"2308.13104","title":"Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records","created":"2023-08-24","cited_by_count":5,"area":null},{"id":"2105.01238","title":"Supervised multi-specialist topic model with applications on large-scale electronic health record data","created":"2021-05-04","cited_by_count":4,"area":null},{"id":"2105.09428","title":"Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder","created":"2021-05-19","cited_by_count":4,"area":null},{"id":"2106.12608","title":"Clinical Named Entity Recognition using Contextualized Token Representations","created":"2021-06-23","cited_by_count":4,"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":"2109.12769","title":"Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark","created":"2021-09-27","cited_by_count":4,"area":null},{"id":"2208.05280","title":"TSInterpret: A unified framework for time series interpretability","created":"2022-08-10","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":"2405.15871","title":"Explaining Time Series Classification Predictions via Causal Attributions","created":"2024-05-24","cited_by_count":4,"area":null},{"id":"2407.00840","title":"MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records","created":"2024-06-30","cited_by_count":4,"area":null},{"id":"2604.01841","title":"Retrieval-aligned Tabular Foundation Models Enable Robust Clinical Risk Prediction in Electronic Health Records Under Real-world Constraints","created":"2026-04-02","cited_by_count":4,"area":null},{"id":"2103.00482","title":"Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data","created":"2021-02-24","cited_by_count":3,"area":null},{"id":"2106.08488","title":"Predictive Modeling of Hospital Readmission: Challenges and Solutions","created":"2021-06-16","cited_by_count":3,"area":null},{"id":"2111.08625","title":"Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data","created":"2021-11-16","cited_by_count":3,"area":null},{"id":"2211.10828","title":"Instability in clinical risk stratification models using deep learning","created":"2022-11-20","cited_by_count":3,"area":null},{"id":"2305.03711","title":"Medical records condensation: a roadmap towards healthcare data democratisation","created":"2023-05-05","cited_by_count":3,"area":null},{"id":"2305.19997","title":"Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model","created":"2023-05-31","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":"2502.00059","title":"Large Language Models are Few-shot Multivariate Time Series Classifiers","created":"2025-01-30","cited_by_count":3,"area":null},{"id":"2507.22798","title":"Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models","created":"2025-07-30","cited_by_count":3,"area":null},{"id":"2603.14003","title":"The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records","created":"2026-03-14","cited_by_count":3,"area":null},{"id":"2603.24562","title":"Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction","created":"2026-03-25","cited_by_count":3,"area":null},{"id":"2102.02631","title":"Universal Approximation Theorems of Fully Connected Binarized Neural Networks","created":"2021-02-04","cited_by_count":2,"area":null},{"id":"2102.03622","title":"Deep Semi-Supervised Learning for Time Series Classification","created":"2021-02-06","cited_by_count":2,"area":null},{"id":"2106.06621","title":"Piecewise-constant Neural ODEs","created":"2021-06-11","cited_by_count":2,"area":null},{"id":"2202.04769","title":"Spectral Propagation Graph Network for Few-shot Time Series Classification","created":"2022-02-08","cited_by_count":2,"area":null},{"id":"2203.02446","title":"AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment","created":"2022-03-04","cited_by_count":2,"area":null},{"id":"2204.13847","title":"CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction","created":"2022-04-29","cited_by_count":2,"area":null}],"next_cursor":"100"}