Cited by

MIMIC-IV-ED (v2.2)

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

• Comparing Methods to Identify which Adult Emergency Department Visits Might be Avoided: A Retrospective Analysis of the MIMIC-IV-ED Database
  James Graeme Wrightson, Linda K Truong, Cobie Starcevich et al. medRxiv, 2025.
• Explainable AI: Enhancing Machine Learning Model Interpretability with Generative AI
  Castelhano, Inês Dinis. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT), 2025.
• Predictive Modeling in Triage Using Ordinal Logistic Regression: A Study Based on the MIMIC-IV-ED Dataset. "Ordinal Logistic Model for Emergency Triage"
  Daniel Becerra Pabón, Danny Martínez Lobo, P Zárate. Revista Ciencias Biomédicas, 2025.
• Serial 12-Lead Electrocardiogram–Based Deep-Learning Model for Hospital Admission Prediction in Emergency Department Cardiac Presentations: Retrospective Cohort Study
  Arda Altintepe, Kutsev Bengisu Ozyoruk. JMIR Cardio, 2025.
• Developing federated time-to-event scores using heterogeneous real-world survival data
  Siqi Li, Ziwen Wang, Yuqing Shang et al. Computers in Biology and Medicine, 2025.
• A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data
  Tobias Susetzky, Huaqi Qiu, Rickmer Braren et al. Lecture notes in computer science, 2025.
• Risk Factors and Development of a Predictive Model for In-Hospital Mortality in Hemodynamically Stable Older Adults with Urinary Tract Infection
  Tzu‐Heng Cheng, Wei Lu, Chen‐Bin Chen et al. Medicina, 2025.
• Defining and Characterizing Visits To Emergency Departments For Musculoskeletal Conditions: A Retrospective Analysis Using Two Publicly Available Databases
  James Graeme Wrightson, Linda K Truong, A. Haagaard et al. medRxiv, 2025.
• WITHDRAWN: Development and External Validation of a High-Precision Model for Predicting ICU Admission from Emergency Department Triage
  Nathan D. Nguyen, Andrew Chu, Dev Dash. medRxiv, 2025.
• MC-MED, multimodal clinical monitoring in the emergency department
  Aman Kansal, Emma Chen, Boyang Tom Jin et al. Scientific Data, 2025.
• A Pipeline for Automating Emergency Medicine Documentation Using LLMs with Retrieval-Augmented Text Generation
  Denis Moser, Matthias Bender, Murat Sariyar. Applied Artificial Intelligence, 2025.
• Intersectional and Marginal Debiasing in Prediction Models for Emergency Admissions
  Elle Lett, Shakiba Shahbandegan, Yuval Barak‐Corren et al. JAMA Network Open, 2025.
• Curation and Analysis of MIMICEL -- An Event Log for MIMIC-IV Emergency Department
  Wei Ping Jia, Chun Ouyang, Bemali Wickramanayake et al. arXiv (Cornell University), 2025.
• Leveraging a large language model (LLM) to predict hospital admissions of emergency department patients
  Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba et al. Expert Systems with Applications, 2025.
• Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis
  Farieda Gaber, Maqsood Shaik, Fabio Allega et al. npj Digital Medicine, 2025.
• Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers
  Li Shi. Research Square, 2025.
• Internal and External Validation of a Deep Learning-Based Early Warning System of Cardiac Arrest with Variable-Length and Irregularly Measured Time Series Data
  Jyun-Yi Wang, Su-Yin Hsu, Jen‐Tang Sun et al. Journal of Healthcare Informatics Research, 2025.
• Development and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning study
  Shan Jiang, Shuai Dai, Yulin Li et al. EClinicalMedicine, 2025.
• APLICAÇÃO DE MODELOS DE MACHINE LEARNING VISANDO A PREDIÇÃO DA TRIAGEM DE PACIENTES
  Pedro Augusto Azevedo Vilela, Edvard Martins de Oliveira. 2025.
• Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
  Yuhao Li, Ling Luo, Uwe Aickelin. Lecture notes in computer science, 2025.
• PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions
  Daeun Kyung, Hyunseung Chung, Seongsu Bae et al. neural information processing systems, 2025.
• EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysis
  Nafisa Binte Feroz, Chandrima Sarker, Tanzima Ahsan et al. International Conference on Computer and Information Technology (ICCIT), 2024.
• The need of raw physiological data for more comprehensive pain studies
  Riccardo Sabbadini, Giulia Di Tomaso, Massimiliano Carassiti et al. AI & Society, 2024.
• Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiology
  Nikos Sourlos, Rozemarijn Vliegenthart, João Santinha et al. Insights into Imaging, 2024.
• FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare
  Mingxuan Liu, Yilin Ning, Yuhe Ke et al. Patterns, 2024.
• Interpretable Machine Learning Models for Predicting Critical Outcomes in Patients with Suspected Urinary Tract Infection with Positive Urine Culture
  Chieh‐Ching Yen, Chengyu Ma, Yi-Chun Tsai. Diagnostics, 2024.
• Leveraging graph neural networks for supporting automatic triage of patients
  Annamaria Defilippo, Pierangelo Veltri, Píetro Lió et al. Scientific Reports, 2024.
• Length of stay prediction for hospital management using domain adaptation
  Lyse Naomi Wamba Momo, Nyalleng Moorosi, Elaine Okanyene Nsoesie et al. Engineering Applications of Artificial Intelligence, 2024.
• Early Enteral Nutrition Could Be Associated with Improved Survival Outcome in Cardiac Arrest
  Jingwei Duan, Jianjie Ren, Xiaodan Li et al. Emergency Medicine International, 2024.
• Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis
  Siqi Li, Di Miao, Qiming Wu et al. Health Data Science, 2024.
• Multivariate tie-breaker designs
  Tim Morrison, Art B. Owen. Electronic Journal of Statistics, 2024.
• Retrospective Classification of ARDS in ICU Time-series data using Random Forest with a focus on Data Pre-processing
  Simon Fonck, Sebastian Johannes Fritsch, Hannes Pieper et al. IFAC-PapersOnLine, 2024.
• MDF-Net for abnormality detection by fusing X-rays with clinical data
  Chihcheng Hsieh, Isabel Blanco Nobre, Sandra Costa Sousa et al. Scientific Reports, 2023.
• Association between Frailty Assessed Using Two Electronic Medical Record-Based Frailty Assessment Tools and Long-Term Adverse Prognosis in Older Critically Ill Survivors
  B. Hao, Weihao Xu, Wei Qiang Gao et al. The journal of nutrition health & aging, 2023.
• EARLY PREDICTION OF UNEXPECTED LATENT SHOCK IN THE EMERGENCY DEPARTMENT USING VITAL SIGNS
  Hansol Chang, Weon Jung, Juhyung Ha et al. Shock, 2023.
• Embracing cohort heterogeneity in clinical machine learning development: a step toward generalizable models
  Michiel Schinkel, Frank C. Bennis, Anneroos W. Boerman et al. Scientific Reports, 2023.
• The Association Between Time From Emergency Department Visit to ICU Admission and Mortality in Patients With Sepsis
  Junichiro Shibata, Itsuki Osawa, Kiyoyasu Fukuchi et al. Critical Care Explorations, 2023.
• Radiology report generation using transformers conditioned with non-imaging data
  Nurbanu Aksoy, Nishant Ravikumar, Alejandro Federico Frangi. SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications, 2023.
• Restricted Polypharmacy Compared to Usual Care in Mechanically Ventilated Patients: A Retrospective Cohort Study
  Somnath Bose, Li-wei H. Lehman, Daniel S. Talmor et al. Anesthesia & Analgesia, 2023.
• MIMIC-IV, a freely accessible electronic health record dataset
  Alistair E. W. Johnson, Lucas Bulgarelli, Lu Shen et al. Scientific Data, 2023.
• Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
  Emma Chen, Aman Kansal, Julie Chen et al. neural information processing systems, 2023.
• Benchmarking emergency department prediction models with machine learning and public electronic health records
  Feng Xie, Jun Rong Zhou, Jin Wee Lee et al. Scientific Data, 2022.
• Diagnostic stewardship for blood cultures in the emergency department: A multicenter validation and prospective evaluation of a machine learning prediction tool
  Michiel Schinkel, Anneroos W. Boerman, Frank C. Bennis et al. EBioMedicine, 2022.

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