Publications citing MIMIC-IV v3.1

The double-edged sword: A critical review of foundational medical datasets for AI benchmarks, biases, and the future of equitable healthcare
Rabie Α. Ramadan, Nadim K. M. Madi, Sallam Osman Fageeri et al. Neurocomputing, 2026. Cites: paper

Association between beta-blocker use and outcomes in patients with sepsis-induced myocardial injury: An analysis based on MIMIC-IV and eICU databases
Han Wu, Linqian Jiang, Liman Qiu et al. International Journal of Infectious Diseases, 2026. Cites: paper

Association of lactate-to-albumin ratio with 28-day mortality in elderly sepsis patients: a retrospective MIMIC-IV database analysis
Minhui Dai, Bowen Yuan, Yun Tan. BMC Infectious Diseases, 2026. Cites: dataset, paper

Glucose-to-albumin ratio predicts short-term mortality in critically ill patients with acute pancreatitis
Xin Lin, Weiwei Ma, Zhengjia Chen et al. Scientific Reports, 2026. Cites: paper

Safety and effectiveness of phenobarbital vs. benzodiazepines for severe alcohol withdrawal in alcohol-associated liver disease in the ICU
Rajalakshmi Govalan, Shengchen Hao, Michael T. Kenes et al. JHEP Reports, 2026. Cites: paper

Study of the prognostic value of the systemic immune-inflammation index combined with the triglyceride-glucose index in coronary heart disease: a retrospective study based on the MIMIC database
Chen-yang Wu, Yu-Qin Zhan, Yubin Shen et al. BMC Cardiovascular Disorders, 2026. Cites: paper

Temporal-multimodal cluster-guided embedding for patient similarity search: An interpretable EHR retrieval framework
Mohammad Tanhaei. Measurement Digitalization, 2026. Cites: paper

Delayed anticoagulation is associated with lower mortality in sepsis-induced coagulopathy: a large-scale, propensity-score-matched cohort study from MIMIC-IV
Tiantian Zhou, H. Liu, Fengxia Qin et al. International Journal of Surgery, 2026. Cites: paper

Early Vasopressor Initiation versus Standard Fluid Resuscitation in Normotensive Cryptic Shock: A Target Trial Emulation
Ibrahim Shuaibu, Sawssan Radouani, Yousaf Hussain. Research Square, 2026. Cites: paper

Explainable AI for critical care: a systematic review of interpretable models for sepsis and ICU mortality prediction
V. S. Athukorala, W. M. K. S. Ilmini. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Forecasting ICU Acute Kidney Injury with Actionable Lead Time Using Interpretable Machine Learning: Development and Multi-Center Validation
A Hourani, Zuzanna Jakubowska, Jolanta Małyszko. Journal of Clinical Medicine, 2026. Cites: paper

Predicting CAD Severity Using ECG Signals and Blood Test Biomarkers: A Multimodal Approach to Risk Stratification
Shreya Soni, Sarah Alex, Rahul Venkatesh Reddy et al. International Conference on Software and Computer Applications (ICSCA), 2026. Cites: paper

Prognostic Value of the Endothelial Activation and Stress Index for Short- and Mid-Term Mortality in Critically Ill Patients With Cirrhosis
Jiuqu Zhu, Xiuli Zheng. Research Square, 2026. Cites: dataset, paper

A machine learning model for prediction of risk of dementia superimposed on delirium in intensive care patients
Xinya Li, Weisheng Chen, Zhigang Wang et al. Archives of Gerontology and Geriatrics, 2026. Cites: paper

A Scoping Review of Synthetic Data Generation by Language Models in Biomedical Research and Application: Data Utility and Quality Perspectives
Hanshu Rao, Weisi Liu, Haohan Wang et al. Journal of Healthcare Informatics Research, 2026. Cites: paper

Association between antithrombin levels and prognosis in patients with sepsis: a retrospective cohort study based on the MIMIC-IV and MIMIC-III databases
Bingkui Ren, Gang Zhou, Haiyan Xue et al. Journal of Intensive Care, 2026. Cites: paper

A survey on large language models from general purpose to medical applications: Datasets, methodologies, and evaluations
Jinqiang Wang, Huansheng Ning, Yi Peng et al. Neurocomputing, 2026. Cites: paper

Comparison on the predictive value of four preoperative nutritional assessment tools for acute kidney injury after major surgery: a retrospective cohort study
Qingqing Zhou, Xiaoying Lu, Jinwei Wang et al. International Journal of Surgery, 2026. Cites: paper

Identification and validation of respiratory virus immunization using natural language processing
Kevin A. Wilson, John J. Riddles, Andrew C. Hill et al. Frontiers in Digital Health, 2026. Cites: paper

Interpretable machine learning reveals phosphorus-to-albumin ratio as a novel predictor of mortality and acute kidney injury in critically ill pancreatitis patients: a multi-center retrospective analysis
Xuan Chen, Boying Liu, Gefei Wang. European journal of medical research, 2026. Cites: paper

Prognostic value of nine inflammatory biomarkers for 30-day mortality in critically ill elderly patients with osteoporotic hip fracture
Zhen-Jiang Liu, Xiao-min Li, Zhun Du et al. Scientific Reports, 2026. Cites: paper

A multicenter-validated machine learning model for predicting in-hospital mortality in ICU patients with cirrhosis
Qinhua Yang, Zhikun Xu, Zeming Chen et al. Digital Health, 2026. Cites: paper

An interpretable machine learning model for predicting intensive care unit mortality risk in elderly patients with concomitant cardiogenic shock and sepsis: Development and external validation using two large critical care databases
Han Chen, Yuming Wu, Pu Chen et al. Digital Health, 2026. Cites: paper

Artificial intelligence-assisted phenotyping of sepsis: Research progress, clinical challenges, and translational prospects
Hang Ruan, Jing-Kun Lee, Jie Xiong et al. Digital Health, 2026. Cites: paper

Association between triglyceride glucose-body mass index and all-cause mortality in patients with sepsis: Evidence from a retrospective cohort study
Yufan Pu, Xianghui Zhou, Xuejing Li et al. Journal of International Medical Research, 2026. Cites: paper

Early Prediction of Septic Shock in Severe COVID-19 Patients: Development and Validation of a Nomogram Model
Yinbing Jin, Junbao Ma, W Zhou et al. Infection and Drug Resistance, 2026. Cites: paper

Explainable AI for mortality prediction: a comparative study using the MIMIC-III dataset
Niusha Shafiabady, Dave Akume, Mohammadreza Haghighat et al. BMJ Health & Care Informatics, 2026. Cites: paper

Federated learning for heterogeneous electronic health record systems with cost effective participant selection
Junsu Kim, Junsu Kim, Kyunghoon Hur et al. Scientific Reports, 2026. Cites: paper

Interpretable early mortality prediction in oncology ICU patients: A dual-cohort validation of a LASSO–XGBoost–SHAP framework
Xinyi Chen, Lu Wang, Wan Qin et al. Digital Health, 2026. Cites: paper

Multicenter validation of an explainable machine learning model for early prediction of acute kidney injury in critically ill patients with digestive system tumors
Dunzhu Guo, Jing Bai, Jian Zhang et al. Digital Health, 2026. Cites: paper

Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms
Johanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart et al. Digital Health, 2026. Cites: paper

Predictive value of red blood cell distribution width–albumin ratio for mortality risks in critically ill patients with valvular heart disease: A retrospective analysis using machine learning-based predictive modelling
Hao Li, Guanghang Wu, Zhenglong Wang. Digital Health, 2026. Cites: paper

Predictive Value of SAPS II for 28-Day All-Cause Mortality in AECOPD Patients Admitted to the ICU
Shiyuan Yao, Yao Xu, Jin Liu et al. International Journal of COPD, 2026. Cites: paper

Semantic analysis of SNOMED CT concept co-occurrences in clinical documentation using MIMIC-IV
Ali Noori, Prashanti Manda. Digital Health, 2026. Cites: paper

Sequential pattern transformer (SPT): a generative and interpretable framework for predicting disease trajectories
Mohammad Assadi Shalmani, Masoud Khani, Amirsajjad Taleban et al. Neural Computing and Applications, 2026. Cites: paper

Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in critically ill patients with acute kidney injury: A cohort study from MIMIC-IV
Yingxiu Huang, Ting Ao, Ming Hu et al. Digital Health, 2026. Cites: paper

Trans-sectoral patient pathways in urgent and emergency care (TRANSPARENT study): protocol for a prospective, mixed-methods study in Germany
Jonas Bienzeisler, Miriam Katharina Hertwig, Hauke Heidemeyer et al. BMJ Open, 2026. Cites: paper

When documentation follows the patient: Unprofessional language and behavioral health referrals in substance use disorder — a retrospective cohort study using LLM-augmented natural language processing
Jiyoun Song, Sue Hyon Kim, Yoon-Jae Lee et al. Digital Health, 2026. Cites: paper

Comparative prognostic value of nutrition–inflammation indices for 1-year mortality in elderly intensive care unit patients: a retrospective observational study based on MIMIC-IV database
Shixin Huang, Jinhong Xia, Zhuo Zheng et al. BMC Geriatrics, 2026. Cites: paper

Development of a nomogram to predict in-hospital mortality of trauma patients in the ICU: an analysis of the MIMIC-IV database
Yiqian Zeng, Nieqiong Tan, Xiaoyan He et al. Scientific Reports, 2026. Cites: paper

Explainable machine learning model for predicting traumatic brain injury-induced coagulopathy in elderly patients: A multicenter cohort study
Ben Yang, Ting Li, Chunli Xue et al. Neurosurgical Review, 2026. Cites: paper

Acute kidney injury is a major mediator of intra-abdominal pressure-related mortality in critically ill patients: a longitudinal analysis
Wlademir Roriz Neto, Alexandre Braga Libório. Journal of Anesthesia Analgesia and Critical Care, 2026. Cites: paper

Albumin-corrected anion gap and short-term mortality in patients with sepsis and heart failure: A retrospective cohort study
Qiao Xiao, Tingting Liu, Xinyuan Zhang et al. Medicine, 2026. Cites: paper

HealthProcessAI: a technical framework and proof-of-concept for LLM-enhanced healthcare process mining
Eduardo Illueca Fernández, K.C. Chen, Fernando Seoane et al. Frontiers in Artificial Intelligence, 2026. Cites: paper

Nonlinear relationship between hemoglobin-to-age ratio and 28-day mortality in patients with chronic obstructive pulmonary disease: A retrospective cohort study from MIMIC-IV database
Congfeng Li, Ting Ao, Yingxiu Huang et al. Medicine, 2026. Cites: paper

Therapeutic effectiveness of sodium bicarbonate in diabetic ketoacidosis: A retrospective cohort analysis using the marginal structural Cox model
Xiaoyu Wu. Medicine, 2026. Cites: paper

A survey On large language models for medical time series
Xingyue Liu, Feizhong Zhou, Hanguang Xiao et al. Expert Systems with Applications, 2026. Cites: paper

Multi-Horizon Chronic Kidney Disease Trajectory Prediction via Interpretable Stacked Ensemble and Deep Sequential Modeling
A. A. Mamun, Nusrat Hasan. International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2026. Cites: paper

Stratifying mortality risk in hypotension using outcome-oriented clustering of vital sign trajectories
Zhuolun Liu, Li Li, Yongmin Zhang et al. iScience, 2026. Cites: paper

Impact of glucocorticoid therapy on short- and long-term mortality in immunocompromised patients with community-acquired pneumonia in the ICU: a retrospective cohort study
Xue Tian, Dongpo Wei, Shiyu Meng et al. BMC Infectious Diseases, 2026. Cites: paper

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