Cited by

MIMIC-IV (v3.1)

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

• A Disease Trajectory Representation Framework with Risk-Aware Pseudotime Analysis for Electronic Health Records: Application to Heart Failure Risk Stratification (Preprint)
  Jhen-Li Huang, Cing-Han Yang, Tun‐Wen Pai. JMIR Medical Informatics, 2026. Cites: paper
• A Risk-Aware Pseudotime Approach for Modeling Heart Failure Progression: A Geometric Analysis of Longitudinal Electronic Health Record Data (Preprint)
  Jhen-Li Huang, Cing-Han Yang, Tun‐Wen Pai. 2026. Cites: paper
• Association of preoperative albumin-corrected anion gap with 28-day mortality in cardiac surgery patients: a retrospective cohort study
  Haiyang Hu, Zhibo Zhang, Wangping Peng et al. BMC Cardiovascular Disorders, 2026. Cites: dataset, paper
• The Complement System in the Setting of Critical Illness—A Narrative Review
  Kleio Ampelakiotou, Ioanna Nikitopoulou, Stelios Kokkoris et al. Biomolecules, 2026. Cites: paper
• Baseline Corpus Construction and Proof-of-concept Experiments for AI/ML-Enabled Syndromic Surveillance
  Lauren M Diaz, Chenyi Ling, Monique E. Beaudoin. Military Medicine, 2026. Cites: dataset
• CalibraCardio: Reliability-Aware Multi-Source Fusion with Calibration and Explanations for Cardiac Risk Stratification
  Leela Prasad Gorrepati, Sadhasivam Mohanadas. World Conference on Computational Science and Technology (WcCST), 2026. Cites: paper
• Development and validation of an interpretable machine learning model for predicting in-hospital mortality in patients with ventricular fibrillation
  Chengdi Chen, Kaixiang Zhang, Tongchun Zhong et al. Research Square, 2026. Cites: paper
• Distinct 72-hour fluid balance trajectories are associated with 28-day mortality in a multicenter cohort of sepsis patients
  Kangxing Wang, Huaiyu Xiong, Yukun Zhu et al. Scientific Reports, 2026. Cites: paper
• Effect of Vitamin C on the Prognosis of Patients with Acute Pancreatitis-Related Acute Kidney Injury Admitted to the Intensive Care Unit: A Retrospective Study
  Baning Ye, Meimei Zhang, Gang Liao et al. Digestive Diseases and Sciences, 2026. Cites: paper
• Generating Cardiac Magnetic Resonance Images from Electrocardiograms — A Multicenter Study
  Zhengyao Ding, Ziyu Li, Yujian Hu et al. NEJM AI, 2026. Cites: paper
• How does OA affect sepsis? An observational study and Mendelian randomization mediation analysis
  Dawei Xu, Junjie Chen, Fanrong Lin et al. Osteoarthritis and Cartilage Open, 2026. Cites: paper
• Time-varying associations between corticosteroid dose and hospital mortality in ARDS: a sliding-window analysis of MIMIC-IV
  Dominic Charles Marshall, Matthieu Komorowski, Matthieu Jamme et al. BMC Pulmonary Medicine, 2026. Cites: paper
• Dynamic Landmark-Based Prediction of Sepsis Using Interpretable and Balanced Machine Learning Models in Respiratory-Supported Critically ill Patients
  Ayao Sangénis Assogba, Gladius Jennifer H., Komi Selassi Gayi et al. Research Square, 2026. Cites: paper
• Maximum Troponin As an Independent Predictor of 30- and 90-day Mortality in Type 2 Myocardial Infarction
  Krunal Shukla, Prattyak Mukhopadhyay, Mohammed Ruzieh. Critical Pathways in Cardiology A Journal of Evidence-Based Medicine, 2026. Cites: paper
• Trajectory-derived discharge readiness signal infrastructure for the intensive care unit: A retrospective evaluation in 94,444 ICU encounters
  Steve Biko Onyambu, John M. Litell, Omer W. Sultan. Journal of Critical Care, 2026. Cites: paper
• Development and internal validation of a machine learning-based model to predict 1-year all-cause mortality in patients with gastrointestinal bleeding with type 2 diabetes
  Xiangru Wang, Yuchen Wang, Haiwang Liu. BMC Medical Informatics and Decision Making, 2026. Cites: paper
• Dynamic association between triglyceride-glucose-body mass index and hospital mortality in critically ill patients with heart failure: a multicenter retrospective cohort study
  Shuang Liu, Yuzhou Cai, Chenming Shi et al. Cardiovascular Diabetology, 2026. Cites: paper
• Explainable Machine Learning for Multi-Horizon Early Sepsis Prediction in Intensive Care Units
  Yetunde Esther Ogunwale, Johnson Tunde Fakoya, Oluyemisi Adenike Oyedemi et al. Cureus Journal of Computer Science., 2026. Cites: paper
• i2b2-ML: module to facilitate machine learning in the informatics for integrating biology and the bedside platform
  Jeffrey Gordon Klann, Micheal M Mendis, Shyam Visweswaran et al. JAMIA Open, 2026. Cites: paper
• SOFA-2 versus SOFA-1 for mortality prediction in critically ill patients
  Songjie Bai, Meiling Huang, Hui Chen et al. Journal of Intensive Care, 2026. Cites: paper
• The Impact of Evaluation Strategy on Sepsis Prediction Model Performance Metrics in Intensive Care Data: Retrospective Cohort Study
  Dang-Khoa Do, Patrick Rockenschaub, Sebastian Daniel Boie et al. Journal of Medical Internet Research, 2026. Cites: paper
• Triglyceride-glucose index and mortality in critically ill patients with cardiovascular-kidney-metabolic syndrome stage 4
  Xueshi Yin, Shuaixian Han, Zhiming Zheng et al. Cardiovascular Diabetology, 2026. Cites: paper
• Association of thiamine supplementation with 30-day mortality among ICU patients with sepsis-associated delirium
  Haibo Wang, Yaotang Wang, Caixia Li et al. Scientific Reports, 2026. Cites: paper
• Early levothyroxine sodium administration and clinical outcomes in patients with sepsis: a MIMIC-IV database analysis
  Jing Chu, Man Chen, Jianying Guo et al. Scientific Reports, 2026. Cites: paper
• Screening of key variables and development and validation of a prognostic model for hepatocellular carcinoma
  Jiang Chen, Hangyu Zhi, Guo Mian et al. Research Square, 2026. Cites: paper
• Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency
  Sheharyar Raza, Ruchika Goel, Christian Erikstrup et al. Vox Sanguinis, 2026. Cites: paper
• Estimating treatment effects and recommending safe drug policies in prostate cancer inpatients: a causal inference approach towards digital twins
  Annette John, Reda Alhajj, Jon George Rokne. Network Modeling Analysis in Health Informatics and Bioinformatics, 2026. Cites: paper
• LLM-based harmonized data ingestion for dataspace: a novel system for automating data ingestion across heterogeneous data sources
  Parwinder Singh, Michele Gaspari, Nirvana Meratnia et al. Knowledge-Based Systems, 2026. Cites: paper
• Association between the blood urea nitrogen–to–serum albumin ratio and all-cause mortality in critically ill patients with hypertension: a retrospective cohort study of MIMIC-IV database
  Keyang Li, Debao Li, Dandan Gong et al. Research Square, 2026. Cites: dataset, paper
• Data Foundations for Medical AI: Provenance, Reliability and Limitations of Russian Clinical NLP Resources
  Arsenii Litvinov, Lev Malishevskii, Evgeny Karpulevich et al. Informatics, 2026. Cites: paper
• Association between female sex and short-term mortality after coronary artery bypass grafting: a retrospective cohort study
  Jiasen Ma, Junjun Qin, Xinguang Chen et al. Journal of Cardiothoracic Surgery, 2026. Cites: paper
• Deconstructing the modified NUTRIC score in sepsis: A component-level analysis reveals limited contribution of nutrition-related factors
  Dongpo Liu, Yiqiang Zhang, Sen Lv et al. Clinical Nutrition Open Science, 2026. Cites: paper
• De Ritis Ratio Trajectories and Mortality Risk in Sepsis-Associated Acute Kidney Injury
  Xiaobin Luo, Guoliang Huang, Weilian Zeng et al. Journal of Surgical Research, 2026. Cites: paper
• Optimizing real-time phenotyping in critical care using machine learning on electronic health records
  Piotr Picheta, Stanisław R. Deniziak. Expert Systems with Applications, 2026. Cites: paper
• Development and validation of dynamic clinical subphenotypes using vital sign trajectories in stroke patients in the intensive care unit: A retrospective study based on the MIMIC-IV and eICU-CRD databases
  Guodong Zhang, Shiquan Qu, Jing Hu et al. Research Square, 2026. Cites: paper
• Prediction-guided clustering for sepsis phenotyping: a retrospective cohort analysis
  Paul Hilders, Lada Lijović, Martijn Otten et al. Intensive Care Medicine Experimental, 2026. Cites: paper
• Prognostic value of stress hyperglycemia ratio in critically Ill patients with acute kidney injury: a machine learning-driven retrospective cohort analysis
  Yichun Shuai, Yan Liu, Xiahong Yang et al. Health Information Science and Systems, 2026. Cites: paper
• Prolonged QT interval is associated with 90-day mortality in sepsis independent of onset timing and heightened in male patients: A cohort study
  Ya Wei, Xian Liu, Changzhen Yang et al. The American Journal of the Medical Sciences, 2026. Cites: paper
• Context-Aware Emergency Department Triage Using Pairwise Comparisons and Bradley-Terry Aggregation
  Philip C. Jarrett, Jonathan E. Reeder, Samuel McDonald et al. medRxiv, 2026. Cites: dataset
• Deep Learning Identifies Novel Subphenotypes of Multiple Organ Dysfunction Syndrome in Critical Care
  Huang Weijin, Qinyan Liang, Wei Lin et al. Research Square, 2026. Cites: paper
• Tensor Network Architectures for Clinical Digital Twin Simulation
  Christopher Jenks. IntechOpen eBooks, 2026. Cites: paper
• A comprehensive review of temporal reasoning with multimodal LLMs: Foundations, challenges, and healthcare applications
  Marouene Chaieb, Nour Ben Ameur, Wadii Boulila. Computer Science Review, 2026. Cites: paper
• AI-Driven Predictions of Readmission and Mortality for Improved Discharge Decisions in Critical Care: A Retrospective Study
  Yeonjeong Heo, Minkyu Kim, Seon‐Sook Han et al. Diagnostics, 2026. Cites: paper
• Machine Learning in the ICU: Predicting Mortality in Patients with Carbapenem-Resistant Gram-Negative Bacilli Bloodstream Infections
  Özlem Güler, Volkan Alparslan, B İnner et al. Journal of Intensive Care Medicine, 2026. Cites: paper
• Responsible AI for Sepsis Prediction: Bridging the Gap Between Machine Learning Performance and Clinical Trust
  Thiago Queiroz de Oliveira, Leandro A. Carvalho, Flávio R. C. Sousa et al. Journal of Clinical Medicine, 2026. Cites: paper
• Trajectory pattern of serum urea nitrogen to creatinine ratio in acute kidney injury requiring continuous renal replacement therapy: A post hoc analysis of a retrospective multicenter cohort study
  Hidehiko Nakano, Ryohei Horie, Takashi Gondo et al. Journal of Critical Care, 2026. Cites: paper
• Unmasking silent bioenergetic failure in normolactatemic AMI patients: a multicenter validation of the TyG-ACAG index
  Xiaoxue Zhang, Qing Xu, Yan Chenxi et al. Lipids in Health and Disease, 2026. Cites: paper
• Association between β-blocker use and outcomes in patients with heart failure and chronic obstructive pulmonary disease: a retrospective cohort study
  Guangdong Wang, Dong Shang, Tingting Liu et al. Scientific Reports, 2026. Cites: paper
• Association between postoperative nocturnal blood pressure rising and mortality in patients receiving cardiac surgery: a retrospective cohort study
  Wen-wen Song, Yi Liu, Qin-dong Liu et al. BMC Cardiovascular Disorders, 2026. Cites: paper
• ChainCare: Clinical prediction via bidirectional monitoring event chains and multi-event time series modeling
  Shi Mu, Qizheng Sun, Shihui Zhang. Information Processing & Management, 2026. Cites: paper

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