Publications citing MIMIC-IV v3.1

Before the Model Comes the Endpoint: Stable-Extubation Adjudication for Cross- Database Prediction in Obstructive Airway Disease
Tianyi Yu. Research Square, 2026. Cites: paper

Privacy-aware artificial intelligence framework for early sepsis detection in sustainable healthcare systems
Jayalaxmi Dash, Prabhat Kumar Sahu, Suneeta Satpathy. Discover Computing, 2026. Cites: dataset

Development and External Validation of a Multimodal Artificial Intelligence Mortality Prediction Model of Critically Ill Patients Using Multicenter Data
Behrooz Mamandipoor, Chun-Nan Hsu, Martin Krause et al. Anesthesiology, 2026. Cites: paper

From text to insight: a systematic literature review of keyword and keyphrase extraction techniques for healthcare text mining
Mouhamed Gaith Ayadi. Network Modeling Analysis in Health Informatics and Bioinformatics, 2026. Cites: paper

Weak-Supervision Expectation–Maximization Framework for Identifying Decisional Vulnerability in Older Emergency Department Patients
Devin Sandlin, Steven E. Arze, Jacob Lane et al. Healthcare, 2026. Cites: paper

Early versus Late Pharmacologic Thromboprophylaxis in Traumatic Brain Injury: A Propensity-Score Matched Cohort Study
Wei Jiang, Lianwei Ma, Mohamed Elashhab et al. Seminars in Thrombosis and Hemostasis, 2026. Cites: paper

Growing Your Data: A Data Synthesis Approach for Irregular Time Series Forecasting
Tong Wang, Xuxi Chen, Zhangyang Wang et al. Lecture notes in computer science, 2026. Cites: paper

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deployment study
Fang‐Ju Sun, Yen‐Yu Liu, Li‐Kuo Kuo et al. BMJ Quality & Safety, 2026. Cites: paper

A clinical decision enhancement framework for large language models guided by medical knowledge graph: Improving diagnostic accuracy and rationality
Shuhuan Yu, Yuxiang He, Peixian Li et al. Intelligent Medicine, 2026. Cites: paper

A Compression-First Knowledge-Distilled Neural Network for ICU Stroke Mortality Prediction
Habibur Rahaman, Mohammad Shamsul Arefin. International Conference Computational Vision and Bio Inspired Computing, 2026. Cites: paper

A Dual-Output Physiology-Informed Neural Network Architecture for Continuous Cuffless Blood Pressure Waveform Estimation: A Proof‑of‑Concept
Zaineb Aloui, Cederick Landry. Artery Research, 2026. Cites: paper

AI-Driven Continuous Compliance and Intelligent Risk Management in Multi-Cloud Healthcare Ecosystems: A Review
Selvamurugan Ramamoorthy. International Conference on Secure Information Systems and Technologies (ICSIST), 2026. Cites: paper

A Machine Learning Framework for Multi-Disease Health Risk Prediction Using Electronic Health Records
Keshavamurthy T G, Manasa M, Priyanka Kanavalli et al. International Conference on Soft Computing for Security Applications (ICSCSA), 2026. Cites: paper

A Multi-View Hybrid Deep Learning Framework for Interpretable Disease Prediction using Heterogeneous Electronic Health Records
Padmavathi B, Raveendrababu Vempati. International Conference on Secure Information Systems and Technologies (ICSIST), 2026. Cites: paper

An Outcome-Oriented Multimodal Decision Support Framework for Three-Level Emergency Department Triage
Siyang Yao, Xing Gao, Yushun Tao et al. IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE International Conference on Robotics, Automation and Mechatronics (RAM), 2026. Cites: paper

Association between time-of-day plasma lipid measurements and acute kidney injury in critically ill patients: A retrospective cohort study
Chao Yang, Xiaofen Zhou, Shu-Xu Wei et al. SAGE Open Medicine, 2026. Cites: paper

Association between vitamin D deficiency and clinical outcomes in critically ill patients: A retrospective cohort study
Yuancheng Chen, Wangsheng Deng, Yuquan Deng et al. Journal of International Medical Research, 2026. Cites: paper

Cognitive Clinical Foundation Models for AI- Assisted Precision Oncology: A Multimodal Agentic Framework for Real-Time Cancer Therapeutic Decision Support
Ohmini Krishnamurthy Rajendran. International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), 2026. Cites: paper

Estimated Pulse Wave Velocity, Early Postoperative Neutrophil to Lymphocyte Ratio, and Delirium After Cardiac Surgery: A Retrospective Cohort Study Using the Medical Information Mart for Intensive Care IV Database
Feifan Hu, Yi He, Yefang Qian et al. Journal of Cardiothoracic and Vascular Anesthesia, 2026. Cites: paper

Evaluating the Resilience of ICU Nurse Staffing Standard Operating Procedures Under Demand Variability: A Discrete Event Simulation Study Using MIMIC-IV
Jomana Bashatah, Adel Bashatah. Healthcare, 2026. Cites: paper

Explainability and Verifiability of Artificial Intelligence in ICU Mortality Prediction
Yuqi Chen, Gergely Kovásznai. IEEE Conference on Information Technology and Data Science (CITDS), 2026. Cites: paper

Improving Clinical Note De-identification via Post-NER Verification and Candidate Expansion
Zejun Zhou, Ruoqian Zhang, Zhicheng Jiao et al. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, 2026. Cites: paper

LLM-Augmented Hybrid Representations for Disease Category Classification from Clinical Notes
Khanh-Thao Le-Vu, Hung-Nghiep Tran. International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2026. Cites: paper

Multimodal Routing for Interpretable, Robust, and Auditable Clinical Prediction
Nikkie Hooman, Zhongjie Wu, Eric C. Larson et al. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, 2026. Cites: paper

Navigating fairness in artificial intelligence-based prediction models: theoretical constructs and practical applications
Siri Lise van der Meijden, Yuqing Wang, Madelena Y. Ng et al. The Lancet Digital Health, 2026. Cites: paper

NEURON: A Neuro-symbolic System for Grounded Clinical Explainability
Anuradha Chandrasekaran, Dimitrios Zikos, Mutlu Mete et al. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, 2026. Cites: paper

Operationalising Inclusion for Participatory Design: Worked Examples for TRIPOD+AI & PROBAST+AI
Riley Martens, Linda Bakunda, Teresa Mushayandebvu et al. Health Services Insights, 2026. Cites: paper

Prevalence Shift and ICU Mortality Miscalibration Across Institutions
Aman Chandra H, Stuti Shivhare, Suyash Sahu. International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2026. Cites: paper

Real-time dynamic prediction of mortality and renal replacement therapy after cardiac surgery using a time-series deep learning model
Mohamad El Moheb, Elio R. Bitar, Kristin Putman et al. Journal of Thoracic and Cardiovascular Surgery, 2026. Cites: paper

Red cell distribution width-to-albumin ratio predicts mortality in critically ill patients with gastrointestinal bleeding: A retrospective cohort study with external validation
Lihong Lv, Xuyong Chen, Xiangshu Yuan et al. Journal of International Medical Research, 2026. Cites: paper

ToxicFreeMed: BERT-enhanced BPR algorithm for toxic-free medication recommendation
Stavros Davidopoulos, Panagiotis Symeonidis, Christos Andras et al. Health Information Science and Systems, 2026. Cites: paper

Twin-Adaptive Secure Blockchain Framework with Deep Learning for Context-Aware Medical Data Transmission in Software-Defined Wireless Body Area Networks
Sayila Subrahmanyam, Rajesh A. International Conference on Electronics and Sustainable Communication Systems (ICESC), 2026. Cites: paper

Early Prediction of Ventilator Liberation Failure in Critically Ill Adults: Development and Multicohort Validation Using MIMIC-IV, eICU, and a Local Clinical Cohort
Yuanyuan Zhang, Haiqing Wang. Research Square, 2026. Cites: paper

Feasibility of a German High-Frequency Neonatal and Pediatric Intensive Care Dataset (AIx-Neo-Guard Dataset): Secondary Data Cohort Study
Lena Sophie Olivier, Camelia Lauterbach Oprea, André Stollenwerk et al. JMIR Pediatrics and Parenting, 2026. Cites: paper

Remnant Cholesterol Paradox: Higher Levels Are Associated With Reduced Mortality in Critically Ill Patients With Heart Failure
Zhiqiang Zhang, Yanbin Su, Shanshan Tang. Journal of the American Heart Association, 2026. Cites: paper

Unsupervised Clustering Reveals Clinically Distinct Sepsis Phenotypes and Racial Disparities in ICU Outcome Classification: A Retrospective Cohort Study Using MIMIC-IV and eICU
Shreya Shahu, Jagdish Pimple. Research Square, 2026. Cites: paper

Causal-Pathway-Guided DNN–GBDT Distillation for Interpretable Artificial Intelligence in Intensive Care Units
Hashim Ali. Informatics, 2026. Cites: paper

Development and Validation of an Interpretable Machine Learning‐Based Clinical Prediction Model for Short‐Term Mortality in Intracerebral Hemorrhage With Thrombocytopenia: A Multicenter Study
Dachang Qiu, Guangwei Li, Ze Wang et al. CNS Neuroscience & Therapeutics, 2026. Cites: paper

Effect of evaluation prompt strategies on LLM-as-a-judge reliability in critical care
Jia-Yu Yan, Wing-Sum Chan, Ching‐Tang Chiu et al. Anaesthesiology Intensive Therapy, 2026. Cites: dataset, paper

Predicting In-Hospital Mortality in ICU Patients with Intracerebral Hemorrhage: A Machine Learning Study Using Dynamic Time-Series Features with Dual-Database Validation
Hanying Gu, Xiuxia Shi, Yunpeng Duan et al. Research Square, 2026. Cites: paper

The Nonlinear Impact of Cumulative Fluid Balance on Severe Acute Kidney Injury During the First Three ICU Days in Sepsis
Deyang Xi, Yinshuang Yang, Shucun Liu et al. Journal of Intensive Care Medicine, 2026. Cites: paper

A machine-learning arrival-risk model for second-look risk stratification among intermediate- and lower-acuity emergency department patients
Yoshihiro Fuchigami. Artificial Intelligence in Emergency Medicine, 2026. Cites: paper

Development and external validation of a machine learning model for predicting 28-day mortality in patients with acute myocardial infarction complicated by malignant arrhythmia: a study using the MIMIC database and a Chinese cohort
Jiechun Yao, Chun Lin, Qingbo Xu et al. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

Interpretable Machine Learning Model Using Oxygenation and Respiratory Variability to Predict Hemorrhagic Stroke Mortality: A Multicenter Validation Study
Jing Feng, Hongyu Zhang, Jianheng Gu et al. Computer Methods and Programs in Biomedicine, 2026. Cites: paper

Personalized Classification Models for Service Systems: Algorithmic Commonality between Tourist Profiling and Patient Stratification
Shengyu Gu. Journal of Computer Science and Frontier Technologies, 2026. Cites: paper

U-shaped relationship between guideline-directed medical therapy initiation timing and long-term adverse outcomes in acute heart failure
Huang Zhang, Li Zhu, Xinyuan Guo et al. The Journal of Cardiovascular Aging, 2026. Cites: paper

Development and external validation of a machine learning model for early prediction of malnutrition risk in elderly critically ill patients with heart failure: A Multicenter Study Using MIMIC-IV and eICU-CRD (Preprint)
Youyang Wu, Xiuruo Zhu, Guangjun Xiang et al. 2026. Cites: paper

Landmark-based early perfusion phenotyping for prognostic stratification in septic shock: derivation in MIMIC-IV and fixed-parameter external transportability assessment in eICU
Shuo Yang, Zhihao Ren, Yiran Li et al. Frontiers in Medicine, 2026. Cites: paper

Medical AI has a measurement problem
Arjun Kumar Manrai. Nature, 2026. Cites: paper

Personalized Service Prediction Models: From Tourist Behavior to Patient Stratification
Shengyu Gu. Health Medicine and Therapeutics, 2026. Cites: paper

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