Publications citing MIMIC-IV v3.1

Toward universal representations of the living: Physiological invariance for transportable medical AI
Alexandre Vallée. PLOS Digital Health, 2026. Cites: paper

An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems
Philipp Keyl, Niklas Kiermeyer, Jonah Bosserhoff et al. medRxiv, 2026. Cites: dataset

Association between rhythm control strategy and clinical outcomes in postoperative atrial fibrillation after coronary artery bypass grafting: a retrospective cohort study
Xianglin Long, Weiwu Xiong, Yeshen Zhang et al. BMC Cardiovascular Disorders, 2026. Cites: paper

Association of the CONUT score with mortality in critically ill patients with acute ischaemic stroke: a machine learning study with external validation
Ge Li, Wenshi Wei. Frontiers in Neurology, 2026. Cites: paper

Context-dependent composition of the prognostic nutritional index in heart failure
Yangguang Yu, Maituodi Maituxun, Zhiying Wen et al. Research Square, 2026. Cites: dataset, paper

The Shock Clock in AMI-CS: Clinically Anchored Dynamic Bayesian and Machine-Learning Risk Modelling Across MIMIC-IV and eICU
Tianyi Yu. Research Square, 2026. Cites: dataset, paper

Propensity-guided unbalanced optimal transport for acquisition-aware incomplete multimodal clinical prediction
Yulong Chen, Qi Zhang, Wenzhe Liu et al. Information Fusion, 2026. Cites: paper

Early Machine Learning-Based Identification of Hospitalized Patients at Low Risk of Respiratory Deterioration or Mortality in Community-Acquired Pneumonia: External Validation of a Multivariable Model
Claudia Gyimah, Prasamsa Pudasaini, Allison LeMahieu et al. Infectious Disease Reports, 2026. Cites: paper

Glyceamic variability is a pridictor of in-hopital and long-term mortality of patients with dilated cardiomyopathy: a 5-year retrospective cohort study
Yang Liu, Qiwei Shen, Hongyu Liu et al. BMC Cardiovascular Disorders, 2026. Cites: dataset, paper

Arterial lactate and enteral feeding intolerance within the vasopressor gray zone: a retrospective cohort study
Qinqin Shu, Min Tang, Qi Si et al. Frontiers in Nutrition, 2026. Cites: paper

Predicting diuretic efficiency in critically ill patients with acute decompensated heart failure: External validation of the BAN-ADHF score
Emmanuel Otabor, Justin Lam, Laith Alomari et al. American Heart Journal Plus Cardiology Research and Practice, 2026. Cites: paper

Quality assessment of synthetic data in healthcare: a critical appraisal with a focus on subgroup bias
Christos Chatzichristos, Dimitris Katsimpokis, Congting Lai et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Continuous imputation of blood gas and metabolic panel laboratory values in the intensive care unit using machine learning
Behrooz Mamandipoor, Martin Krause, Pragnya Korti et al. Journal of Clinical Monitoring and Computing, 2026. Cites: paper

Do Open-Weight LLMs Respect Minimum-Necessary Access in Text-to-SQL? An Automated Audit on EHR Benchmarks
Alberto Ballesteros-Rodríguez, Lino Gonzalez-Garcia, Miguel‐Ángel Sicilia et al. Electronics, 2026. Cites: paper

Early prophylactic anticoagulation in patients with severe sepsis-associated thrombocytopenia: a target trial emulation
Mingqi Chen, Jiazhen Xu, Yi Guo et al. Journal of Thrombosis and Thrombolysis, 2026. Cites: dataset, paper

Severity-stratified vasopressor-escalation strategies in septic shock: a cross-fitted doubly robust analysis with external replication
Yuhang Zhang, Menglin Han, Xiaosu Liu et al. Frontiers in Pharmacology, 2026. Cites: paper

Association Between Documented Hypertension and In-Hospital Mortality Among Critically Ill Adults: A Retrospective Cohort Study Using the Medical Information Mart for Intensive Care IV Database
Angel Dockery, Goitom Abraha, Mohammed Raaid O Musa et al. Cureus, 2026. Cites: dataset, paper

Finding the optimal glycemic target in sepsis using a joint longitudinal-survival model on the MIMIC-IV and eICU cohorts
Vincent B. Liu, Laura Y. Sue, Thomas F. Byrd et al. Intelligence-Based Medicine, 2026. Cites: paper

Multi-Axial Analysis of Clinical Reasoning in Large Language Models: Inter-Verifier Disagreement and Its Implications for Automated Evaluation
Hyunjung Byun, Dahyoun Lee, Munyoung Jung et al. Journal of Medical Systems, 2026. Cites: paper

Relationship between stress hyperglycemia ratio and gastrointestinal bleeding and mortality after coronary artery bypass grafting: a multicenter cohort study
J I A N Z E Dong, Jie Yang, Zhechuan Jin et al. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

Stigmatizing Language in Gender-Expansive Patient Records: Corpus Development, Disparity Analysis, and Natural Language Processing–Based Detection Study
Liyang Xue, Mary Chayko, Vivek Kumar Singh. Journal of Medical Internet Research, 2026. Cites: paper

Cross-database validation reveals distinct layers of transportability in ICU delirium prediction
Shengliang Ni, Kengo Sato. medRxiv, 2026. Cites: dataset

Haemodynamic intolerance at the de-resuscitation decision in critically ill adults: development, temporal and external validation of a prediction model across two intensive care databases
Lujun Shao, Yue Li, Cheng Xu et al. Research Square, 2026. Cites: paper

ICU-onset atrial fibrillation surrogate, thrombocytopenia, and short-term outcomes in patients with cancer requiring intensive care: a retrospective ICU cohort study
Hasan Burak İşleyen, Sevil Tuğrul Yavuz, S. Bulut et al. Cardio-Oncology, 2026. Cites: paper

Prognostic Nutritional Index as a Predictor of 90-Day Mortality in Surgical Sepsis Patients with Acute Kidney Injury—A Retrospective Cohort Study Based on the MIMIC-IV Database
Jia Wan, Chaoqun Zhang, Kuncan Lin et al. Journal of Clinical Medicine, 2026. Cites: paper

Temporal Analysis of Patient-Centered Sentiment in Clinical Notes for Patients With Mental Health Conditions: Retrospective Cohort Study
Abdulrahman Morsy, Carson J. Peters, Leslie Miller et al. Journal of Medical Internet Research, 2026. Cites: paper

A machine learning–based prediction model for delirium risk in malnourished elderly ICU patients with SHAP interpretability
Chunmei Zhang, Zhiyi Xie, Fengzhen Chen et al. Frontiers in Nutrition, 2026. Cites: dataset

Associations of NLR, MLR, and (neutrophil + monocyte)/lymphocyte ratio with 30-day mortality in diabetic ICU patients with heart failure: A retrospective cohort study
Jiazheng Chen, Yuxin Liang, Jiabei Wu et al. IJC Heart & Vasculature, 2026. Cites: paper

Can We Trust LLMs for Medical Diagnosis? Evaluating Robustness of Clinical Reasoning Under Perturbation
Zhaofeng Niu, Chongxin Du, Bowen Wang et al. Lecture notes in computer science, 2026. Cites: paper

Early osmotherapy exposure and subsequent incident acute kidney injury in neurocritical care patients: a MIMIC-IV retrospective cohort study
Shenshen Du, Shaojie Zhang, Weicheng Lai et al. Journal of Intensive Care, 2026. Cites: dataset, paper

Explainable machine learning model for early prediction of ICU death in chronic heart failure with pulmonary infection
Yihai Zhai, Bingbing Wei, Danxiu Lan et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Frequency-Enhanced Time-Series forecasting for refined disease progression prediction in critically ill patients
Z G Li, Chunyu Hu, Wei Zhuang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Machine learning-based prediction of sepsis-induced myocardial injury: external validation and SHAP interpretation
Botao Li, Shiyu Pi, Min Xu et al. BMC Infectious Diseases, 2026. Cites: paper

Severe anemia and red cell product ordering burden among women hospitalized with benign uterine disorders: a retrospective cohort study using MIMIC-IV
Haojie Zhang, Yan Cheng, Fangtao Zhu et al. BMC Women s Health, 2026. Cites: paper

Heart Failure sub-phenotyping and in-hospital and 28-day mortality prediction based on mean arterial pressure trajectory modeling
Patrick E. Gelbach, Roger A. Edwards, Yukiko Fukuda et al. American Heart Journal Plus Cardiology Research and Practice, 2026. Cites: paper

Association between blood eosinophil count and 28-day mortality among critically ill patients with atrial fibrillation: A retrospective cohort study
Z Y Hu, Xiangjun Kong, Jianguo Chen et al. Medicine, 2026. Cites: paper

Asynchronous proximal federated aggregation for heterogeneous healthcare networks
Manakkattu Sreelakshmi, Radhakrishnan Delhibabu. Frontiers in Digital Health, 2026. Cites: paper

Machine Learning for 30-Day ICU Readmission Prediction: Addressing Class Imbalance and Decision Threshold Optimization
Moses Kiprono, Hellen Nyokabi Jesino, Haileleul Mekonnen et al. International Conference on Machine Learning and Machine Intelligence (MLMI), 2026. Cites: paper

Multimodal vision-language models for automated and explainable postoperative complication risk stratification
Azmine Toushik Wasi, Mahfuz Ahmed Anik, MD Shafikul Islam et al. IISE Transactions on Healthcare Systems Engineering, 2026. Cites: paper

Acute kidney injury severity in ICU patients: Developing and evaluating a data-driven analysis of clinical covariates using machine learning
Mohammad Fathi, Nader Markazi Moghaddam, Mahdis Fathi et al. PLoS ONE, 2026. Cites: paper

Development and External Validation of an Interpretable Machine Learning Framework for Predicting Pneumothorax-Associated Acute Kidney Injury: A Multicenter Retrospective Study
Golden Pan, Jingli Fan, Wenhao Wang et al. Journal of Clinical Medicine, 2026. Cites: paper

Recent Advances in AI for Automated ICD Coding: A Systematic Literature Review
Abdul Rehman Khalid, Haider Ali, Kounen Fathima et al. Journal of Medical Systems, 2026. Cites: paper

Advancing multi-class classification: innovations, challenges, and ethical perspectives in machine learning
Yousef Qawqzeh, Abdullah Alourani, Fayez Alharbi et al. PeerJ Computer Science, 2026. Cites: dataset

Association of the pan-immune-inflammation value with 60-day in-hospital mortality in critically ill patients with acute myocardial infarction: evidence from the MIMIC-IV database
Mingjie Wu, Hanyu Xu, Zhen Jia et al. BMC Cardiovascular Disorders, 2026. Cites: paper

Knowledge Graphs vs. SQL over Structured EHR Data
Leonidas Anagnou, Andreas Vezakis, Ioannis Vezakis et al. Future Internet, 2026. Cites: paper

Machine Learning-Based Early Risk Stratification for Sepsis-Related Troponin-Defined Myocardial Injury Using Routine Metabolic Indicators
Jinwei Dai, Qihang Huang, Wenye Xu et al. International Journal of Medical Informatics, 2026. Cites: paper

MedTime-LLM-FGL: Multi-Scale Query Refinement with Future-Guided Learning for Medical Time Series Forecasting
Zhen Zhang, Chenyu Xiao, Ji Ma et al. Lecture notes in computer science, 2026. Cites: paper

Temporal changes in clinical practice and mortality in aneurysmal subarachnoid hemorrhage following the 2012 AHA/ASA guidelines: a retrospective cohort study using the MIMIC database
John Kanter, Akshay I. Kelshiker, Pablo Martínez‐Camblor et al. BMC Neurology, 2026. Cites: paper

The associations among iron metabolism markers, iron supplementation regimen, and sepsis-induced myocardial injury: a retrospective study
Xijia Wang, Xiaoying Wang, Yanling Liu et al. Frontiers in Nutrition, 2026. Cites: paper

A Misaligned Multi-modal Clinical Time Series Representation Learning Framework for In-Hospital Mortality Prediction
Tianyu Wang, Guanglei Cai, Lin Guo et al. Lecture notes in computer science, 2026. Cites: paper

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