Cited by

eICU Collaborative Research Database Demo (v2.0.1)

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15 publications cite any version of this project, newest first.

• Explainable AI for Hospital Mortality Prediction Using the eICU Collaborative Research Database
  Ankit, Anurag Anand, Nihaal Kumar Sharma et al. Iconic Research and Engineering Journals, 2026.
• Decision models can offload structured clinical tasks from large language models
  Dean Ariel, Guy Laban, Stav Endelman et al. medRxiv, 2026.
• TwinGuard-Lite: A Rule-Based State-Admission Gateway for Generative Patient Digital Twins
  W. J. Chu, Sheikh Rabiul Islam. arXiv (Cornell University), 2026.
• Agentic-TimesFM-AKI: A Dual LLM–Time Series Framework for Predicting Drug-Induced Acute Kidney Injury with Privacy-Preserving Synthetic Data
  Gamal Esam Ahmed Alsakkaf. medRxiv, 2026.
• Anonimización Inteligente de Datos Sensibles
  Ana María García Arias, Diana Carolina González Díaz, Héctor Alfredo González Cifuentes. Revista Formación Estratégica, 2026.
• TraXion: Rethinking Pre-training Frameworks for Mobility and Beyond
  Shang-Ling Hsu, Mark Tenzer, Cyrus Shahabi et al. arXiv (Cornell University), 2026.
• Federated Learning-Based XGBoost Framework for Privacy-Preserving Sepsis Prediction Using EHRs
  Jayalaxmi Dash, Pratik Kumar Swain, Rabi Narayan Satpathy et al. Lecture notes in networks and systems, 2026.
• Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
  Gerardo Flores, Alyssa H. Smith, Julia Fukuyama et al. neural information processing systems, 2025.
• A Self-Explainable Heterogeneous GNN for Relational Deep Learning
  Francesco Ferrini, Antonio Longa, Andrea Passerini et al. VBN Forskningsportal (Aalborg Universitet), 2024.
• Demographic reporting in biosignal datasets: a comprehensive analysis of the PhysioNet open access database
  Sarah Jiang, Perisa Ashar, Md Mobashir Hasan Shandhi et al. The Lancet Digital Health, 2024.
• Explainable Machine Learning and Online Calculators to Predict Heart Failure Mortality in Intensive Care Units
  An‐Tian Chen, Yuhui Zhang, Jian Zhang. ESC Heart Failure, 2024.
• Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis
  Kullaya Takkavatakarn, Wonsuk Oh, Lili Chan et al. Critical Care, 2024.
• Fuzzy based Fall Risk Prediction in Older Adults
  Deepika Mohan, Duaa Zuhair Al-Hamid, Peter Han Joo Chong et al. International Conference on Artificial Intelligence for Internet of Things (AIIoT), 2024.
• Explainable machine learning model for predicting furosemide responsiveness in patients with oliguric acute kidney injury
  Meng Jiang, Chun‐Qiu Pan, Jian Li et al. Renal Failure, 2023.
• Feature selection methods for high-dimensional biomedical time-to-event data: a review
  Huaning Tan, Chutong Deng, Shaobo Chen et al. International Conference on Big Data Technologies (ICBDT), 2022.

Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.