Cited by

MIMIC-IV (v3.1)

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3604 publications cite any version of this project or its primary paper, newest first.

• Post-cardiac surgery mortality in ICU patients with serum glucose–potassium ratio: A retrospective cohort analysis of the MIMIC-IV database
  Yan Wu, Dandan Xu, Jun Lu et al. Medicine, 2026. Cites: paper
• Serum chloride trajectory and 28-day mortality in critically ill congestive heart failure: A retrospective multicenter cohort study deriving from MIMIC-IV and externally validated
  Yu Xiang, Zhanfang Zhu, Ying Lv et al. Medicine, 2026. Cites: paper
• Continuous predictive mortality risk monitoring after allogeneic hematopoietic stem cell transplantation
  Nick Rucks, Sergej Korlakov, Sebastian Alexander Scharf et al. Scientific Reports, 2026. Cites: dataset
• Development and Validation of a Machine Learning-Based Risk Assessment Tool for In-Hospital Mortality in Elderly Patients with Postoperative Hypoxemia Following Non-Cardiac Surgery
  Yuchen Zhou, Xinhe Zhou, Xiaozhu Liu et al. Journal of Clinical Medicine, 2026. Cites: paper
• Echocardiographically estimated pulmonary artery systolic pressure and 90-day all-cause mortality in sepsis: a MIMIC-IV-ECHO cohort study
  Lujun Shao, Li Y, Cheng Xu et al. Research Square, 2026. Cites: paper
• Elevated atherogenic index of plasma is associated with severe acute kidney injury in critically ill patients with cardiovascular disease – a MIMIC-IV analysis with external validation in the eICU-CRD database
  Peng Liu, Qiwei Shen, Yang Liu et al. Renal Failure, 2026. Cites: paper
• Machine Learning-Based Prediction of 28-Day Mortality in Stroke Using the Nutrition-Immunity-Renal Index (NIRI): A Multicenter, Dual-Database Study of MIMIC-IV and eICU
  Ziyan Ding, Shangning Wu, Junchao Yang et al. Research Square, 2026. Cites: paper
• A data-driven framework to reduce overcrowding in the Emergency Department utilizing machine learning, Six Sigma, and simulation models
  Mahmoud F.Y. Shalaby, Ghada Shaban Eldeghady, Ghaidaa A. Khalid et al. Research Square, 2026. Cites: paper
• Creatinine Paradox in Continuous Renal Replacement Therapy: Higher Levels, Lower Mortality – A Medical Information Mart for Intensive Care IV Validation Study
  Yang Wang, Jianmin Qu, Tingting Wang et al. Blood Purification, 2026. Cites: paper
• Hemoglobin glycation index may contextualize the association between time-varying stress hyperglycemia ratio and mortality in critically ill patients with heart failure: a multicenter retrospective cohort study
  Yecheng Chen, Yuzhou Cai, 沙燕明 et al. Cardiovascular Diabetology, 2026. Cites: paper
• Multiple Clustering Algorithms for Ovarian Cancer Subtyping (MCAOCS): identifying clinical phenotypes and treatment response in critical care
  Yamin Qiu, Zhengwen Qin, Huixian Zheng et al. Journal of Ovarian Research, 2026. Cites: paper
• Real‐world performance of point‐of‐care metre, blood gas and laboratory glucose methods in Australian and American hospital inpatient cohorts
  Jack A. L. Cooper, Rahul Barmanray, Timothy Nicholas Fazio et al. Diabetic Medicine, 2026. Cites: paper
• Reproducible bicarbonate thresholds predict critically ill patient mortality in an international personalized survival study
  Can Xie, Jing Wang, Ruyan Lv et al. iScience, 2026. Cites: paper
• Synthetic data generation: challenges and perspectives for gastrointestinal medicine
  Panagiota Gatoula, Dimitris K. Iakovidis, Dimitrios E. Diamantis et al. Nature Reviews Gastroenterology & Hepatology, 2026. Cites: paper
• Towards autonomous medical artificial intelligence agents
  Dyke Ferber, Lars Hilgers, Christiane Höper et al. Nature, 2026. Cites: paper
• Association Between Triglyceride‐Glucose Index and in‐Hospital Intensive Care Unit Readmission in Ischemic Stroke Patients: A Retrospective Analysis Based on the MIMIC ‐ IV Database
  Di Zhang, Ying-Lun Chen, Jian Zhang et al. The Kaohsiung Journal of Medical Sciences, 2026. Cites: paper
• Association of obesity and nutritional status on early sepsis-associated acute kidney injury in older patients with sepsis
  Dezhi Shen, Kaizhuang Huang, Yongsheng Lei et al. BMC Nephrology, 2026. Cites: paper
• Biological Age Acceleration and Inflammatory Burden Identify Older ICU Patients at Higher Risk of Delirium: A MIMIC-IV Study with eICU Validation
  Dong Cao, Fang Chen, Zhaoxia Liao et al. Research Square, 2026. Cites: paper
• Biventricular dysfunction, pre-existing cardiac disease, and mortality in sepsis: an echocardiographic cohort study
  Lujun Shao, Gaochao Lv, Yi Yuan et al. Research Square, 2026. Cites: paper
• Large Language Models’ Simulation of Patient Comprehension of Discharge Summaries: Multimodel Evaluation Study
  Xinyao Ma, Rui Zhu, Zihao Wang et al. Journal of Medical Internet Research, 2026. Cites: paper
• Magnesium sulfate attenuates sepsis-induced myocardial injury through macrophage Fxyd2/NF-κB signaling: Integrated evidence from a propensity-matched cohort, single-cell atlas, and mechanistic validation
  Dongxia Xu, Yucheng Zhou, Li Y et al. Toxicology and Applied Pharmacology, 2026. Cites: paper
• Predicting Gram-negative bloodstream infection in elderly patients after isolation of GNB from non-blood specimens: a machine learning-based tool
  Xinran Lin, Die Zhang, Ping Jiang et al. Frontiers in Medicine, 2026. Cites: paper
• A multimodal generative model for structured and unstructured electronic health records
  Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji et al. npj Health Systems, 2026. Cites: paper
• Are the Charlson and Elixhauser comorbidity indices reliable predictors of postoperative delirium in abdominal surgery?
  Wesley Chorney, Michael Lisi. Surgery in Practice and Science, 2026. Cites: paper
• Association between Continuous Kidney Replacement Therapy Intensity and Mortality in Critically Ill Patients: A Retrospective Cohort Study from the MIMIC-IV Database
  Binh Van Tran, Phi Yen Huynh, Bao Bui Hoang et al. Blood Purification, 2026. Cites: paper
• Development and evaluation of interpretable machine learning models for predicting in-ICU cardiac arrest from non-cardiac causes using clinical biomarkers
  Shanshan Zheng, Weijie Gong, Wei Zhang et al. Genome Instability & Disease, 2026. Cites: paper
• Development and external validation of a parsimonious lactate-to-diastolic blood pressure ratio model for 28-day mortality risk stratification in septic shock: a retrospective two-cohort study
  Ziang Li, Wanglin Zhang, Kanlirong Wang et al. Frontiers in Medicine, 2026. Cites: dataset, paper
• Early versus delayed enteral nutrition in septic shock: a target trial emulation study
  P X Zhang, Ying Huang, Xiangcheng Zhang et al. Frontiers in Nutrition, 2026. Cites: paper
• Pre-discharge neutrophil:lymphocyte ratio and lymphopenia are associated with post-hospital long-term outcomes among survivors of critical illness
  Lucas L. Marinho, J G Marshall, Danielle Jeong et al. Intensive Care Medicine Experimental, 2026. Cites: paper
• Association of left ventricular end-systolic volume with peri-echocardiographic acute kidney injury proxy beyond ejection fraction: a retrospective linked echocardiographic cohort study
  Hasan Burak İşleyen, Sevil Tuğrul, S. Bulut et al. BMC Cardiovascular Disorders, 2026. Cites: paper
• Troponin T, Left Ventricular Ejection Fraction, and Tricuspid Regurgitation Velocity for Biomarker- and Echocardiography-Based Risk Stratification in Critically Ill Patients with Heart Failure
  Hasan Burak İşleyen, Sevil Tugrul Yavuz, S. Bulut et al. International Journal of Molecular Sciences, 2026. Cites: paper
• Artificial Intelligence in Infectious Disease Care: Selected Applications in Tuberculosis, Sepsis, and Antimicrobial Stewardship
  Olga Adriana Căliman-Sturdza, Roxana Elena Gheorghita, Roxana Filip et al. Diagnostics, 2026. Cites: paper
• Enhancing Early Mortality Prediction With Clinical Notes as Time-Series Scores
  Gabriel Vázquez-Serrano, Maite Oronoz, Alicia Pérez. IEEE Transactions on Human-Machine Systems, 2026. Cites: paper
• Machine Learning Across Heterogeneous Biomedical Data: Representation, Integration, and Deployable Systems
  Alin Adrian Alecu. Bioengineering, 2026. Cites: paper
• Predicting Sepsis Onset in ICUs: A Graph Neural Network Framework with Uncertainty Estimation
  Isaac Furtney, Ray M. Bradley, Mansur R. Kabuka. ACM Transactions on Computing for Healthcare, 2026. Cites: dataset, paper
• Systematic evidence based review of deep learning methods for tuberculosis detection and classification from chest X ray images
  Anshu Sharma, Vipin Kumar Chaudhary, Chirag Sharma et al. Quality & Quantity, 2026. Cites: dataset
• Triglyceride profiles in preterm infants reveal dynamic and age-specific trajectories
  Emma R. Rashes, Victoria Y. Ding, Thanaphong Phongpreecha et al. Frontiers in Pediatrics, 2026. Cites: paper
• Acute Kidney Injury in Pancreatitis: Association and Predictive Performance of Composite Inflammatory Indices
  Mai Shi, Si Zhu. Research Square, 2026. Cites: paper
• AIDx: a locally deployable AI system for physician clinical decision support
  Alan Alwakeel. Scientific Reports, 2026. Cites: paper
• Can one model fit all? Evaluating foundation models for time series forecasting across clinical medicine
  Gernot Pucher, Amin Dada, Aurel Agbodoyetin et al. Artificial Intelligence in Medicine, 2026. Cites: paper
• Multicriteria Adjustment Fairness Framework: Measurement, Mitigation, and Interpretability in Emergency Department Prediction
  MyeongHo Shin, Hansol Chang, Jae Yong Yu. Mathematics, 2026. Cites: paper
• An Explainable Multimodal AI Framework with Reinforcement Learning for Post-Surgical Clinical Decision Support
  Mostak Ahmed, Faisal Ahmed, Shirajum Munira Mow et al. medRxiv, 2026. Cites: paper
• Explainable 6-Hour Sepsis Prediction using Transformers and Informative Missingness
  Annette Nayana Nellyet, Manpreet Kaur, Navdeep Kaur. International Conference on Inventive Computing and Informatics (ICICI), 2026. Cites: paper
• Machine learning-based prediction of early invasive mechanical ventilation in ICU patients with pneumonia: Development and external validation
  yanping lu, Haojie Chen, Minghan Li et al. International Journal of Medical Informatics, 2026. Cites: paper
• Prediction models for mortality in patients with sepsis: a systematic review and meta-analysis
  Siyuan Lei, Huanrong Ruan, Jun Wang et al. Frontiers in Medicine, 2026. Cites: paper
• Quantifying the Serum Magnesium Response and Predictors of Response Following Intravenous Magnesium Replacement in Critically Ill Patients
  Naheel Said, Giovani Angelotti, Wedad B. Awad et al. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, 2026. Cites: paper
• Effect of combined aspirin and statin therapy on mortality reduction in sepsis-induced myocardial injury
  Y ZHAO, Xuan Zhang, Shuai Mao et al. Frontiers in Pharmacology, 2026. Cites: paper
• Explainable Machine Learning for Early In-Hospital Mortality Risk Stratification in ICU Patients with Heart Failure: An Internal Validation Study Based on MIMIC-IV
  Qin Li, Cheng Liu, Fumin Yang et al. Research Square, 2026. Cites: paper
• How Are Researchers Using MIMIC? A Methods-Focused Review of Studies in Critical Care
  Taiebe Kenarangi, Adrian Gerard Barnett, Jacky Yung Suen et al. Research Square, 2026. Cites: paper
• Large Language Models vs. Machine Learning on Structured Perioperative Data: Does Model Choice Matter?
  Theodora Wingert, Xuezhi Dong. Journal of Medical Systems, 2026. Cites: paper

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